Coming up
By calculating the distribution of pixels and their variance from the mean (or average), and then displaying only pixels with a wide variance, unusual elements in an image, e.g., demonic entities and related activity, can be isolated or enhanced:
Check back soon for code that calculates the variance and standard deviation statistics for an image in OpenGL ES 3.0 and OpenCV:
The post will also present methods for further refinement of images generated by variance and standard deviation statistics:
By calculating the distribution of pixels and their variance from the mean (or average), and then displaying only pixels with a wide variance, unusual elements in an image, e.g., demonic entities and related activity, can be isolated or enhanced:
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| From left, clockwise: Median-calculated standard deviation, adjustable Gaussian blur-standard deviation, 1 x 1 nearest neighbor-averaged standard deviation, global (mean) standard deviation |
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| The code and image-processing pipeline for the Gaussian-blur (local adaptive) standard deviation calculation |
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| Other image-processing procedures can be applied to enhance the results of images created using variance/standard deviation statistics | |