A locally adaptive algorithm for measuring blocking artifacts in images and videos
作者： F Pan , X Lin , S Rahardja , W Lin , E Ong
DOI: 10.1016/J.IMAGE.2004.04.001
关键词: Transform coding 、 Adaptive algorithm 、 Image quality 、 Image processing 、 Mathematics 、 Artificial intelligence 、 Image compression 、 Data compression 、 Computational complexity theory 、 Computer vision 、 Coding (social sciences)
摘要: Abstract Block transform coding is the most popular approach for image and video compression. The objective measurement of blocking artifacts plays an important role in design, optimization, assessment systems. This paper presents a new algorithm measuring quality BDCT coded images or videos. It exhibits unique useful features: (1) it examines blocks individually so that can measure severity locally; (2) one-pass sense needs to be accessed only once; (3) takes into account high bit rate flatness very low images; (4) well defined range 0–10. Experiments on various still videos show efficient terms computational complexity memory usage, produce consistent measurement.
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