Skip to main content

Posts

Showing posts from January 4, 2015

PREVIEW | Upcoming pics and topics

The following images were made during the most recent spate of demonic attacks, and will eventually find their way into new posts as supplements to the discussion of a given topic, or as updates to existing posts; they are posted early, and in unprocessed form, to give readers a heads-up on future posts. Irradiated hands due to recent demonic-weapons fire is most evident in color images [see the hand of the man in the background] By contrast, cloaked demonic entities are easier viewed in monotone images [see sucker-demon variety entity on my shoulder] Sucker demons (white, worm-like demonic entities) attach to my feet and jeans [click to enlarge] in order to complicate dressing (or undressing) Peeping demon a lá VIDEO | Processing Still Frames to Find Cloaked Demons Add caption Add caption Add caption A Scream -like face, Edvard Munch-style, caught on video as the camera panned past a houseplant at Grandma's house Rotating another, similar sti

Clandestine surgical mutilation, hidden demonic "bomb" uncovered via demonic-activity video filter

The following still frames were created using the image-processing video filter script provided in TECHNOLOGY | Demonic-activity video stream; tween-frame video filter  and others . In short, it couples consecutive still frames in a videos and overlaps them, and then creates a single still frame based on the difference and similarity between two. The difference is determined by the change of certain values in each pixel between the two frames, which occurs wherever the camera or subject was in motion in the video. The first frame is the starting point and the second is the endpoint, and only where they are different when they overlap will a difference be rendered into the new frame; otherwise, if the camera or subject is not moving, and the two frames are virtually the same, the newly created still frame would appear pitch black. The advantages to processing video in this way are: Detect motion and the subject/object in-motion in otherwise pitch-black video. As discussed in