{"push_id":846916707,"size":2,"distinct_size":2,"ref":"refs/heads/master","head":"af3eb44752c4ff14ba69310a4f731ffc01a42338","before":"be5d4a0dfb0e2951111ee15c59d2b857c00d5eb1","commits":[{"sha":"16ff9f92e54e9a87ef07964e83d2ca117e274354","author":{"email":"291ec1a6ddd1ca34d66a8f43ea407f91c19e8002@mail.nih.gov","name":"Bradley Lowekamp"},"message":"ENH: Optimize AdaptiveHistogramEqualization with MovingHistogram base\n\nImplement the filter as a subclass of the MovingHistogramImageFilter,\nproviding more efficient updates to a histogram while moving in a\nline, and multi-threading.\n\nThere can be a significant (70x+) performance improvement with larger\nradius and multi-threading. There is reasonable scaling with\nmultiple threads. However with just one thread, and a 1 radius there\nalmost a 2x improvement.\n\nThe boundary condition has changed. Prior the zero flux boundary\ncondition was used. Now only the image pixels are used, and the\nsmaller histogram elements are uniformly weighted.\n\nThe use of a temporary float image has been remove in favor of scaling on demand.\n\nThe UseLookupTable option has been removed/deprecated.\n\nChange-Id: Ib737905a26578878696a1da9ee10906ce9db3b45","distinct":true,"url":"https://api.github.com/repos/InsightSoftwareConsortium/ITK/commits/16ff9f92e54e9a87ef07964e83d2ca117e274354"},{"sha":"af3eb44752c4ff14ba69310a4f731ffc01a42338","author":{"email":"291ec1a6ddd1ca34d66a8f43ea407f91c19e8002@mail.nih.gov","name":"Bradley Lowekamp"},"message":"Merge topic 'OptimizeAdaptiveHistogram'\n\n16ff9f92 ENH: Optimize AdaptiveHistogramEqualization with MovingHistogram base","distinct":true,"url":"https://api.github.com/repos/InsightSoftwareConsortium/ITK/commits/af3eb44752c4ff14ba69310a4f731ffc01a42338"}]}