Adaptive Image Quantization Using Total Variation Classification
نویسندگان
چکیده
Most perceptual quantization algorithms use some kind of activity measure such as variance in determining the quantization step size for local macroblocks in MPEG coding. In this paper, we use directional total variation as a new kind of activity measure to develop a novel adaptive quantization algorithm. The scheme is contrasted with a method proposed by Puri and Aravind. Simulation result suggests that the proposed scheme can achieve similar image quality at a considerably lower bitrate.
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