A small, self-contained Python script that finds the block grid (macroblocking) in a single frame without a reference image, using the Wang-Bovik frequency-domain method: it takes the average gradient across rows and columns, runs an FFT, and measures the peak at the block-grid frequency and its harmonics. Works on live and UGC where no original exists. Includes a built-in --demo self-test. Needs numpy; Pillow optional for image input. Triage tool, not a calibrated metric. (ZIP containing 1 file
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The handbook · 7 volumes
Fora Soft Video Engineering Handbook
This no-reference blockiness detector finds the macroblocking grid in a single frame with the Wang-Bovik frequency method, useful for live and UGC. Our seven-volume handbook covers the full video stack; start with Volume 1 for compression artifacts and metrics, then Volume 3 for delivery and Volume 6 for AI quality models. Written by Nikolay Sapunov, CEO at Fora Soft.
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