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Pel Adaptive Predictive Coding Based on Image Segmentation for Lossless Compression Takayuki NAKACHI Tatsuya FUJII Junji SUZUKI Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E82-A No.6 pp.1037-1046 Publication Date: 1999/06/25 Online ISSN: DOI: Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: lossless coding, predictive coding, super high definition images, image segmentation, Full Text: PDF(3.2MB)>>
Summary: In this paper, we propose an adaptive predictive coding method based on image segmentation for lossless compression. MAR (Multiplicative Autoregressive) predictive coding is an efficient lossless compression scheme. Predictors of the MAR model can be adapted to changes in the local image statistics due to its local image processing. However, the performance of the MAR method is reduced when applied to images whose local statistics change within the block-by-block subdivided image. Furthermore, side-information such as prediction coefficients must be transmitted to the decoder with each block. In order to enhance the compression performance, we improve the MAR coding method by using image segmentation. The proposed MAR predictor can be adapted to the local statistics of the image efficiently at each pixel. Furthermore, less side-information need be transmitted compared with the conventional MAR method. | ||||||||||
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