Smoothed histogram

Smoothed histogram, a part of algorithm transparency, is computed during feature extraction for every secondary block on the block map by summing histograms of four overlapping primary blocks from histogram data. It is used to compute clipped contrast and equalized image.

KeywordSuffixZip
smoothed-histogram.json008-smoothed-histogram.json
smoothed-histogram.dat009-smoothed-histogram.dat

Visualization

Histogram visualization can be created from this stage's binary data combined with block map. Visualization itself is not part of transparency data.