TECHNOLOGY | How demons blind people (or, How people go blind)

You can look at all of this, but it's not finished; I'm just throwing stuff up here when I can. It sort of  shows what I've been up to.

I'm up to my eyeballs in demons and work, and I'm not making daily blogging the priority it used to be. What is priority is turning the game demons call "hiding right in front of their faces" into a nightmare by and through image filters that process digital video in a way that allows anyone to see invisible or hard-to-see demons.

That, by the way, is coming along terrifically. For the past three days, three different procedures were established for finding three different kinds of hidden demons and related activity: those possessing a person, sucker demons on a person's face, and demonic weapons or mutations obscured by a moving (blurry) human counterpart. The first two scripts are so similar, that all I had to do what split one in half to make a filter for the other; the third, however, is a miracle, in that it took so much work figuring out, I just don't know how I got it done.

Today, I devised a procedure for truly separating the chroma that is the tell-tale sign of all things demon from the natural surfaces to which it clings. Now, with image data that is exclusively demon on a separate rendering layer, I can reconstruct the demon or object graphically without interference from the non-demon objects overlapping or surrounding it. What's more, is I'm optimistic that this will go as well as everything else has; it only takes a hint of visible image data to construct a discernible portrayal of where that data came from.

It's a good thing that the research and development aspect is going well so far with my initiative to enable everyone to see hidden and otherwise hard-to-see demons using their iPhone, because the hard stuff—the implementation and distribution—is yet to come.

Demons are everywhere and in nearly everyone, so I know the demand is there. That, and I assume that there isn't anyone who wouldn't want to explore the invisible universe that has surrounded them their entire lives, virtually unnoticed—that is to say, for some.

I'm sure you'd like to know more about that. Hence, the reason for foregoing blog-writing in favor of continued work on methods of detecting the formerly undetectable, i.e., the goal of this project. To bring easy to use, demonic-activity scanning software for your cellphone hardware—live—will be far more rewarding than showing-and-telling which demonic entity crawled up my crawl last time.

Like I said, it's coming along; I just need to hammer out a few more procedures to account for different lighting conditions, distances, type of demonic activity, and the like, and then it's just a matter of software engineering, at which I'm old-hat. Then, you will be able to turn your iPhone into the TriCorder it should already be.

Anyway, check back when you can to watch for updates posted here; and, like always, I'll post to the usual places when I have something a little closer to finished here.

---

If you're looking at this post early, forget about reading anything here; simply click the images to enlarge them, and then look at the "spokes" around my eyes:

Spokes around the eyes spell future blindness at the hands of demons [click to enlarge]

Same still frame (above), without chroma-enhancements applied (i.e., original)

The topic will eventually be how demons blind people, and the fact that they do. Blindness has long been a tool of the Devil, and the curing of same constitutes the hallmark miracle of his adversary, Jesus Christ.

If you're new to the blog and don't want to invest much time rooting out the background story, here's a quick summary: I'm taunted day-and-night by Voices Demons that say they are going to blind me. My eyesight is deteriorating—rapidly. In every video showing a close-up of my eye, and which was made during periods of high demonic activity, you can see the "spokes" around my eyes. Those are sucker demons, and they are responsible for the degradation of the tissue of the eye, and the surrounding areas, as well.

The reason why the spokes are seen under certain conditions and not others is explained about a hundred times throughout this blog. I, of course, am willing to answer questions about that at anytime, and can also arrange for you the opportunity (and know-how) to record your own demonic activity. Just ask.

Exorcising sucker demons (visually)
The same video-filtering plug-in that exorcises demons in possession of people—visually, that is—can be stopped midway in the process to exorcise sucker demons crawling on one's face. The image below shows sample output from the script:

ENHANCED | The yellow "spokes" around my right eye are sucker demons, embedded in the lid, acting as radioactive eyelashes intended to degrade tissue and impair eye function [click to enlarge]

ORIGINAL | Prior to processing by a new video filter tuned specifically to visually draw-out sucker demons 

The significance of this is the near-equivalent of finding the cure for blindness, as well as any other ailment that may be in store down-the-line. The image above afforded me information on how demons intend to blind me when their people are not around to fire their demonic weapons into my eyes; specifically, you'll notice yellow "spokes" around my right eye.

Those are cloaked sucker demons, planted around its perimeter, which emit a type of EMF radiation that will slowly damage my eye and the surrounding tissue over time, causing blindness and deformity.

Like sperm to an egg are suckers demons to my eye [click to enlarge]

They are found in every close-up of my face in video made during periods of high demonic activity, as shown in samples of video on which the entire filtering script was run, and which exorcises a possessing demon from the human it possess (like I said, visually, of course):

ORIGINAL | Just the human and some noise

NOISE | Amplifying the color noise via wavelet transformation reconstructs the visible portions of a possessing demon

SEPARATION | Separating the amplified noise and the human leave just the possessing demon

Copy-and-paste this script into the GIMP Python-fu console—modifying the class call at the end to point to the directory of the video still frames to modify—to find sucker demons on faces in videos made in similar conditions and an environment as shown above:

#!/usr/bin/env python import gimpfu #access constants from gimpfu import * from os import listdir from os.path import isfile, join def exorcisesuckerdemons(*args): mypaths = [args[0]] included_extensions = ['jpg','bmp','png','gif' ]; for mypath in mypaths: images = [fn for fn in listdir(mypath) if any([fn.endswith(ext) for ext in included_extensions])]; for i in images: try: if i.lower().split(".")[-1] in ("png", "jpg"): image = pdb.file_png_load(mypath + i, mypath + i) # pdb.gimp_display_new(image) drawable = pdb.gimp_image_get_active_drawable(image) green_channel = pdb.gimp_channel_new_from_component(image, 1, "Green channel") green_layer = pdb.gimp_layer_new_from_drawable(green_channel, image) pdb.gimp_image_add_layer(image, green_layer, 0) pdb.gimp_item_set_visible(green_layer, 1) # Stack drawable on top; set to Color pdb.gimp_image_raise_item_to_top(image, drawable) pdb.gimp_layer_set_mode(drawable, COLOR_MODE) # Duplicate drawable source_val = pdb.gimp_layer_new_from_drawable(drawable, image) pdb.gimp_layer_set_mode(source_val, VALUE_MODE) pdb.gimp_image_add_layer(image, source_val, 0) # Gradient map (black-to-white) gimp.set_foreground((0,0,0)) gimp.set_background((255,255,255)) pdb.plug_in_gradmap(image, source_val) source = pdb.gimp_image_flatten(image) # Draw color from chroma into highlights source_ovr = pdb.gimp_layer_new_from_drawable(source, image) pdb.gimp_layer_set_mode(source_ovr, OVERLAY_MODE) pdb.gimp_image_add_layer(image, source_ovr, 0) pdb.gimp_invert(source_ovr) # Draw color from chroma into midtones source_div = pdb.gimp_layer_new_from_drawable(source, image) pdb.gimp_image_add_layer(image, source_div, 0) pdb.gimp_layer_set_mode(source_div, DIVIDE_MODE) pdb.gimp_invert(source_div) # Create a high-pass layer (grayscale, radii 6.75) high_pass_nfv = pdb.gimp_layer_new_from_visible(image, image, "high-pass") pdb.gimp_image_add_layer(image, high_pass_nfv, 0) # pdb.gimp_desaturate(high_pass_nfv) pdb.gimp_desaturate_full(high_pass_nfv, 0) high_pass_dup = pdb.gimp_layer_new_from_drawable(high_pass_nfv, image) pdb.gimp_image_add_layer(image, high_pass_dup, 0) pdb.plug_in_gauss_iir(image, high_pass_nfv, 5, 5, 5) pdb.gimp_layer_set_mode(high_pass_dup, GRAIN_EXTRACT_MODE) high_pass = pdb.gimp_image_merge_down(image, high_pass_dup, 0) pdb.gimp_layer_set_mode(high_pass, GRAIN_EXTRACT_MODE) # pdb.gimp_invert(high_pass) # final_layer = pdb.gimp_image_flatten(image) # filename = pdb.gimp_image_get_filename(image) pdb.file_png_save_defaults(image, pdb.gimp_image_flatten(image), pdb.gimp_image_get_filename(image), pdb.gimp_image_get_filename(image)) # pdb.gimp_displays_flush() pdb.gimp_image_delete(image) except Exception, error: print error break return exorcisesuckerdemons("/Users/jamesalanbush/Desktop/hilitechromatestvids/secondcliptest/")

A new demonic-activity image-filtering method developed just today produced the sharpest rendering yet of a human arm (mine) mutating into its demonic counterpart, which was first shown on video over two years ago in Human hands and forearms disappear, reappear as demonic, and more recently in Close-up of man's mutating hand; sucker-demon swarm poses as tattoo [see also Close-up of tendril-firing demonic hand weapon key for finding possession victims].

The following series of images are duplicates of a single still frame taken from a video made during a period of high demonic activity that shows my arm in transit from position to another—the original, the image-filtered product, and an enhanced version:

[re-do these, downscaling in half before posting for a (hopefully) sharper image]

In the original, my arm is motion-blurred; in the demonic-activity image-filtered version of that same still frame, the image data constituting the motion blur was removed, and what was left behind was not my arm.




Due to their poor quality, past videos showing this same phenomenon only prove to those who have seen an arm or hand mutate in persona that a limb/appendage mutation occurred; by contrast, virgin-eyed readers may see that something supernatural occurred, but, without the context of personal experience, the significance of the mutation and its use implications are lost.

TECHNOLOGY | Opening eyes while being blinded

Note from September 3rd, 2015
This post contains screenshots of my work from awhile back, as I determine what image-processing techniques work best for digital media showing demonic activity. The headline intimates that this work will lead to a preventative cure for blindness, which demons—and demons alone—cause by detecting them in their attempt using the same CCD image sensor found in digital cameras.

I meant to say more when I originally wrote this post (like in so many of my posts); but, I got caught up in the success of my work, and eloquent prose took a back seat to finding ways to help people keep their eyesight.

That, and what I would have said then, I've pretty much said by now.

Separating the demon from the man

CHANNEL MIX | Red: -70; Green: +200; Blue: -30 (Photoshop)

The original...

CHANNEL MIX | Red: -70; Green: +200; Blue: -30 (Gimp)

More separating the demon from the man (Another note from September 3rd, 2015)
As often happens, while looking for one thing demonic, I find another, as shown in the following images. I was looking for cloaked entities in and around the eye, but found a way to render my inner demon's skin texture—and, might I say, in exquisite detail:

Yet another note from September 3rd, 2015
I'm not sure where I was going with this at the time (my original notes follow, though, if you'd like to try and figure it out), but—again—exquisite rendering of demon skin in these. They still take my breath away...

After processing a portion of video made during a period of high demonic activity using a variant of one of the filters already posted to this blog, new evidence of clandestine surgical operations was discovered in this still frame:

A new video filter that hilites demons in possession of humans revealed more than another face, but also a black groove above and across my right eye

The groove is clearly the scar from a surgical incision of some kind

I can feel the groove over my eye with my hand, but, of course, cannot see it without a chroma-saturated environment and a digital camera...

Final note from September 3rd, 2015
So, the rest of this had a point, but, it's probably lost on most people. For one, there's nothing a human can do, per se, with the information I intended to present; and, they probably wouldn't do anything with it, even if they could. So, no further effort will be made here for now; still, enjoy the pics, if you can make any sense of them.

Blending color channels of processed still frames
Subtract frame2-blue from frame1-green to detect clandestine bodily mutilation
# Subtract frame2-green and frame1-green from frame1-red to detect non-demon possession
                        # Subtract frame2-blue from frame1-green to detect demonic possession
text:

Processed sample 1 | My face, caked with sucker demons [see ]; my left eyelid, peeled back from my eyeball

Original sample #1 contains nothing shown in the processed sample, right, but, a close examination of the chin does show sucker demons

2

3

4

5

6

7

3

2

4

5

7

6

#!/usr/bin/env python import gimpfu #access constants from gimpfu import * from os import listdir from os.path import isfile, join def tweenchroma(*args): mypaths = [args[0]] included_extensions = ['jpg','bmp','png','gif' ]; for mypath in mypaths: included_extensions = ['jpg','bmp','png','gif' ] ; images = [fn for fn in listdir(mypath) if any([fn.endswith(ext) for ext in included_extensions])]; layers = [fn for fn in listdir(mypath) if any([fn.endswith(ext) for ext in included_extensions])]; del layers[0] for i, j in zip(images, layers): try: if i.lower().split(".")[-1] in ("png", "jpg"): if j.lower().split(".")[-1] in ("png", "jpg"): image = pdb.file_png_load(mypath + i, mypath + i) # pdb.gimp_display_new(image) # Create first frame (background copy) drawable = pdb.gimp_image_get_active_drawable(image) frame1 = pdb.gimp_layer_new_from_drawable(drawable, image) pdb.gimp_image_add_layer(image, frame1, 0) # Create low-pass layer for frame1 frame1_low_pass = pdb.gimp_layer_new_from_drawable(frame1, image) pdb.gimp_image_add_layer(image, frame1_low_pass, 0) # radius = pdb.gimp_image_width(image) / 160 pdb.plug_in_gauss(image, frame1_low_pass, 6.75, 6.75, 0) # Subtract frame2-blue from frame1-green to detect clandestine bodily mutilation # Add a layer copy of frame1_low_pass green channel frame1_green_channel = pdb.gimp_channel_new_from_component(image, 1, "frame1 green channel") frame1_green_layer = pdb.gimp_layer_new_from_drawable(frame1_green_channel, image) pdb.gimp_image_add_layer(image, frame1_green_layer, 0) pdb.gimp_item_set_visible(frame1_green_layer, 0) pdb.gimp_layer_set_mode(frame1_green_layer, 0) # Modify frame1 for use as the first half of the tween frame pdb.plug_in_colortoalpha(image, frame1, (0, 0, 0)) pdb.gimp_layer_set_opacity(frame1, 50) # Set background to black as fill for alpha black in frame1 gimp.set_foreground((0,0,0)) pdb.gimp_drawable_fill(drawable, 0) # Create second frame (load from file) frame2 = pdb.gimp_file_load_layer(image, mypath + j) pdb.gimp_image_add_layer(image, frame2, 0) # Create low-pass layer for frame2 frame2_low_pass = pdb.gimp_layer_new_from_drawable(frame2, image) pdb.gimp_image_add_layer(image, frame2_low_pass, 0) # radius = pdb.gimp_image_width(image) / 160 pdb.plug_in_gauss(image, frame2_low_pass, 6.75, 6.75, 0) # Add a layer copy of frame2_low_pass blue channel frame2_blue_channel = pdb.gimp_channel_new_from_component(image, 2, "frame2 blue channel") frame2_blue_layer = pdb.gimp_layer_new_from_drawable(frame2_blue_channel, image) pdb.gimp_image_add_layer(image, frame2_blue_layer, 0) pdb.gimp_item_set_visible(frame2_blue_layer, 0) pdb.gimp_layer_set_mode(frame2_blue_layer, 8) # Modify frame2 for use as the second half of the tween frame pdb.plug_in_colortoalpha(image, frame2, (0, 0, 0)) pdb.gimp_layer_set_opacity(frame2, 50) # Create a tween frame (new-from-visible) framet = pdb.gimp_layer_new_from_visible(image, image, "Tween") pdb.gimp_image_add_layer(image, framet, 0) # Enable color channel-layers pdb.gimp_image_raise_item_to_top(image, frame1_green_layer) pdb.gimp_item_set_visible(frame1_green_layer, 1) pdb.gimp_image_raise_item_to_top(image, frame2_blue_layer) pdb.gimp_item_set_visible(frame2_blue_layer, 1) # Subtract frame2-green and frame1-green from frame1-red to detect non-demon possession # Subtract frame2-blue from frame1-green to detect demonic possession # TO-DO: Frequency separation; invert and Overlay low-pass; Burn high-pass; new-from-visible; # disable high-pass; cycle blending modes # Overwrite frames + save tween tween_file = pdb.gimp_image_get_filename(image).lower().split(".")[-2] + "b" + ".png" pdb.file_png_save_defaults(image, pdb.gimp_image_flatten(image), tween_file, tween_file) # pdb.file_png_save_defaults(image, pdb.gimp_image_get_active_drawable(image), frame1_file, frame1_file) # frame2_file = pdb.gimp_image_get_filename(image).lower().split(".")[-2] + "a" + ".png" # pdb.file_png_save_defaults(image, pdb.gimp_image_get_active_drawable(image), frame2_file, frame2_file) # Flush display and delete image # pdb.gimp_displays_flush() pdb.gimp_image_delete(image) except Exception, error: print error break tweenchroma("/Users/jamesalanbush/Desktop/hilitechromatestvids/test0870/") <textarea> <br /></div>

Channel mixer: "Infrared" #!/usr/bin/env python import gimpfu #access constants from gimpfu import * from os import listdir from os.path import isfile, join def infrared(*args): mypaths = [args[0]] for mypath in mypaths: included_extensions = ['jpg','bmp','png','gif' ] ; images = [fn for fn in listdir(mypath) if any([fn.endswith(ext) for ext in included_extensions])]; layers = [fn for fn in listdir(mypath) if any([fn.endswith(ext) for ext in included_extensions])]; del layers[0] for i, j in zip(images, layers): try: if i.lower().split(".")[-1] in ("png", "jpg"): if j.lower().split(".")[-1] in ("png", "jpg"): image = pdb.file_png_load(mypath + i, mypath + i) # pdb.gimp_display_new(image) drawable = pdb.gimp_image_get_active_drawable(image) pdb.plug_in_colors_channel_mixer(image, drawable, 1, -0.700, 2.000, -0.300, 0, 1, 0, 0, 0, 1) white_layer = pdb.gimp_layer_new(image, pdb.gimp_image_width(image), pdb.gimp_image_height(image), 0, "fill", 100, 5) pdb.gimp_image_add_layer(image, white_layer, 0) gimp.set_foreground((255, 255, 255)) pdb.gimp_drawable_fill(white_layer, 0) pdb.gimp_layer_set_mode(white_layer, OVERLAY_MODE) pdb.file_png_save_defaults(image, pdb.gimp_image_flatten(image), pdb.gimp_image_get_filename(image), pdb.gimp_image_get_filename(image)) pdb.gimp_image_delete(image) except Exception, error: print error break return infrared("/Users/jamesalanbush/Desktop/testvids/test3/")

BIBLE | The Study Notes of a Demoniac [Isaiah 44:18-20]

This post is part of a weekly series of Bible study notes entered in the Bible app on my iPhone. Past posts include:

• BIBLE | The Study Notes of a Demoniac [Isaiah 30:18]
• BIBLE | The Study Notes of a Demoniac [Proverbs 17:4]
• BIBLE | The Study Notes of a Demoniac [Proverbs 17:5]

Sometimes, they're good; other times, incomplete. Nevertheless, they balance the picture falsely portrayed here, specifically, one the opposite of my distaste for evil, as well as the demons and people who perpetrate it.

NOTE | Occasionally, I've posted Bible-related posts to this blog that are far more thorough than the notes. A good example is BIBLE | Fighting the Good Fight: How a demoniac fights like a Christian.

I don't know how it could come across to anyone that I like demons; yet, in spite of the fact that I'm clearly hard at work at developing ways for anyone and everyone, anywhere and anytime to detect cloaked demonic entities and their weaponry, I get the occasional, "You're obsessed," or, "How did you get into hunting demons?"

Perhaps it's the occasional image of me when possessed by a demon, like these:

Two still frames taken from a video of me made during a period of high demonic activity after processing by one of my in-development video filters, which remove natural light, and enhance CCD-image data imprinted on digital camera sensors by demonic radiation (i.e., EMF interference); the slit (snake) eye is not mine, nor are any of the other features on this face

Either way, this particular misperception is not what I consider the biggest problem, as far as misperceptions go. The biggest—by far—is disbelief. That's the point of the decloaking those who would "hide right in front of [our] faces."

Anyway, to the actual note, which is still in progress, and which will be updated as I develop my understanding of the passage presented:

A wise servant shall have rule over a son who causes shame, and shall share in the inheritance among the brothers. (‭Proverbs‬ ‭17‬:‭2‬ AMP)

You are not entitled by right or privilege to any provision or blessing that God grants or gives. Either use them wisely [effectively, efficiently] and in accordance with [to the benefit of] His will or lose His favor to those less able.

What do you ask God for? (Things that you expect to come anyway? Things you'd be angry at God without?) How many of your extra things make it into the hands of the needy? (How many needy people do you know? How many do you pray daily for?) How many uses to those in need have the things you pray for? Do you ever pray for knowledge? (God grants that prayer to even sinners, so with what knowledge will you ask God provision you to accomplish His will? How about that extra degree for a job that will put you in a more tenable position to help others?)

If these question don't cross your mind daily, and if such prayers have never been offered, you do not have the Christ mind. Identify with Christ by doing the work he would have done; get to the root of the problems you're fighting. Get to know the people you're helping, and find out why God loves them enough to concern His Son with their plight.

(DRAFT) VIDEO/TECHNOLOGY | Improving visibility, clarity of videos showing "talking demon heads"

I'm still writing; still putting together materials. Some videos I'm processing have over 10,000 still frames; and, some of those have at least three—if not more—demons in them...at all four angles. What's more is, in order to process them for improved visibility, you have to customize a procedure specifically adapted to the demon in the image. As already stated on this blog, most demons horde, and therefore, their features overlap.

One way demons distinguish themselves from each other visually is by shifting the color their reflect in order to differentiate themselves from their partner (what makes it hard to spot them is the way they alter individual qualities of color (hue, luma, chroma, saturation, lightness, value or what-have-you; while the hue of a given demon may differ from the demon next over, its lightness or saturation may match perfectly. At first glance, it's hard to tell them apart; and, even when it's easy, the differences between them completely alter the procedure for enhancements.

The other way they make a distinction in appearance is by differentiating their size. Sometimes, if you look closely at a giant demon head in an image, you will find it is made of three smaller ones, although to find them, you may have to rotate the image as many times.

That leads me to the third distinction: orientation. Each still frame must be rotated 360° in order to see all of the demons in an image. Given that fact, you have quadrupled the amount of work involved in skimming still frames for demons; at 10,000 with at least 3 demons, four ways (0°, 90°, etc.), equals 70,000 possibilities. It's hard to pick one, and it's hard to stop at even 70,000. They are as unique as snowflakes, and just as ornate in appearance.

I'll post images to demonstrate each method of distinction aforedescribed shortly; but, it's late, I'm injured, and would like to rest, if possible. Enjoy what I have so far, though...

The video this post will eventually talk about is still rendering, even as I sit here and write. Normally, I would wait until everything is ready to be published all at once before introducing a new post; but, occasionally, if the topic itself warrants immediate attention, as it does a lot with respect to demons, and if about half of what is ready to publish is sufficient to carry the topic, then I may decide even a half-post like this one will interest readers enough to visit the same post at least twice (once before it's ready, and again afterwards).

In this case, it was the still-frame rendering samples generated by the image-processing script I wrote to improve video showing the talking demon heads that pop-up during periods of high demonic activity on video. They are everywhere wherever I am, and I have tons of footage of these always stationary and mostly immobile talking demon heads, going back as far as three years ago.

Until now, have never found an occasion to post any of them for several reasons (one notable exception being my talking bedspread, as shown in VIDEO TIMELINE | Blanket Demon of My Youth, Face-to-Face).

For one, whenever they appear—which is always and only during a period of high demonic activity, they take a passive (inactive) role in the melee that ensues; they neither engage me or anyone (or anything) I talk to in conversation, nor seem take any interest in me or the going-ons. In fact, they seem quite oblivious to the world around them (although I think that's how demons avoid rudeness by the appearance of nosiness—no one will suspect or worry that you're listening in on their conversation or watching what they are doing if you act like you can't see or hear anything but yourself. Demons are very sensitive to social gaffes, of which there are a possible many, due to the fact that demons cluster [explain; link to post about shared consciousness in hordes], and privacy is at a premium as it is. I wasn't told that this is what it is, but it's the best educational guess one could make, and follows the same format for all the other rules demons have, but people don't.

Secondly, unless you're viewing a video showing one of them on the device that made it, you can't make them out very well; not only do they always appears in low-light settings, glowing dimly, but they are nearly always a recognizable pair of eyes, lips and a nose, while anything else goes.

Showing such videos to an audience with display devices with black points set anywhere but near yours, and with creatures in them they've never seen before, and could barely make out even if they have...

[mouth blurs on video due to EMF radiation emanating from demon; you can't hear them usually, unless you know how; the rate of speech is far, far faster than human normal, requiring a great deal of mental effort to hear and communicate (I usually fall asleep in about five minutes after talking to a demon that speaks like these talking heads do).

I accidentally ran the wrong script, and didn't notice until the first several still frames of the video were processed by it (it was a script used for another video, written about a week or so ago); however, surprisingly, I got better results with it than the script I wrote specifically for the video:

The first 8 still frames of the subject video, processed by a video filter intended for a completely different video, twice, looks far better than those processed by the video filter designed for the subject video

text.

Following are the original and the product of the script I wrote specifically for this video:

Original, unedited still frame from the subject video

Same still frame, processed by the video filter originally engineered for the subject video

The script originally written for the subject video:
#!/usr/bin/env python import gimpfu #access constants from gimpfu import * from os import listdir from os.path import isfile, join gettext.install("gimp20-python", gimp.locale_directory, unicode=True) def hilite(*args): mypaths = [args[0]] for mypath in mypaths: included_extensions = ['jpg','bmp','png','gif' ] ; images = [fn for fn in listdir(mypath) if any([fn.endswith(ext) for ext in included_extensions])]; for i in images: try: if i.lower().split(".")[-1] in ("png", "jpg"): image = pdb.file_png_load(mypath + i, mypath + i) # pdb.gimp_display_new(image) frame1 = pdb.gimp_image_get_active_layer(image) drawable = pdb.gimp_image_get_active_drawable(image) fill_layer = pdb.gimp_layer_new(image, pdb.gimp_image_width(image), pdb.gimp_image_height(image), 0, "fill", 100, 5) gimp.set_foreground((255, 255, 255)) pdb.gimp_drawable_fill(fill_layer, 0) value_layer = pdb.gimp_layer_new_from_visible(image, image, "value") pdb.gimp_image_add_layer(image, value_layer, 0) pdb.plug_in_normalize(image, value_layer) pdb.gimp_curves_spline(value_layer, 0, 6, [0,0,127,95,255,255]) pdb.gimp_desaturate_full(value_layer, 1) pdb.gimp_layer_set_mode(value_layer, VALUE_MODE) frame1 = pdb.gimp_image_get_active_layer(image) pdb.plug_in_wavelet_decompose(image, image.layers[0], 10, 3, 0, 0) pdb.gimp_layer_set_mode(image.layers[2], OVERLAY_MODE) pdb.gimp_layer_set_mode(image.layers[3], HARDLIGHT_MODE) pdb.gimp_item_set_visible(image.layers[1], FALSE) for x in range(4, 8): pdb.gimp_item_set_visible(image.layers[x], FALSE) pdb.gimp_layer_set_mode(image.layers[8], GRAIN_MERGE_MODE) pdb.gimp_layer_set_mode(image.layers[9], GRAIN_MERGE_MODE) pdb.gimp_item_set_visible(image.layers[10], FALSE) filename = pdb.gimp_image_get_filename(image) pdb.file_png_save_defaults(image, pdb.gimp_image_flatten(image), filename, filename) # pdb.gimp_displays_flush() pdb.gimp_image_delete(image) except Exception, error: print error break return

This is the script that I accidentally ran—twice—on the video, which produced (I think) better results:
#!/usr/bin/env python from gimpfu import * from os import listdir from os.path import isfile, join gettext.install("gimp20-python", gimp.locale_directory, unicode=True) def echo(*args): mypaths = [args[0]] for mypath in mypaths: included_extensions = ['jpg','bmp','png','gif' ] ; images = [fn for fn in listdir(mypath) if any([fn.endswith(ext) for ext in included_extensions])]; del layers[0] for i, j in zip(images, layers): try: if i.lower().split(".")[-1] in ("png", "jpg"): if j.lower().split(".")[-1] in ("png", "jpg"): image = pdb.file_png_load(mypath + i, mypath + i) # pdb.gimp_display_new(image) frame1 = pdb.gimp_image_get_active_layer(image) drawable = pdb.gimp_image_get_active_drawable(image) frame_overlay = pdb.gimp_layer_new_from_drawable(frame1, image) pdb.gimp_image_add_layer(image, frame_overlay, 0) pdb.gimp_layer_set_mode(frame_overlay, OVERLAY_MODE) pdb.gimp_invert(frame_overlay) pdb.gimp_desaturate_full(frame_overlay, 1) pdb.plug_in_gauss_iir2(image, frame_overlay, 15, 15) pdb.gimp_curves_spline(frame_overlay, 0, 6, [0,0,127,255,255,127]) pdb.plug_in_normalize(image, frame_overlay) pdb.plug_in_wavelet_decompose(image, image.layers[0], 10, 3, 0, 0) pdb.gimp_layer_set_mode(image.layers[2], OVERLAY_MODE) pdb.gimp_layer_set_mode(image.layers[3], HARDLIGHT_MODE) pdb.gimp_item_set_visible(image.layers[1], FALSE) for x in range(4, 8): pdb.gimp_item_set_visible(image.layers[x], FALSE) pdb.gimp_layer_set_mode(image.layers[8], GRAIN_MERGE_MODE) pdb.gimp_layer_set_mode(image.layers[9], GRAIN_MERGE_MODE) pdb.gimp_item_set_visible(image.layers[10], FALSE) filename = pdb.gimp_image_get_filename(image) pdb.file_png_save_defaults(image, pdb.gimp_image_flatten(image), filename, filename) # pdb.gimp_displays_flush() pdb.gimp_image_delete(image) except Exception, error: print error break return