標題: Adaptive lossless image coding using least squares optimization with edge-look-ahead
作者: Kau, LJ
Lin, YP
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: adaptive prediction;context modeling;edge detection;entropy coding;least squares (LS) optimization;lossless image coding
公開日期: 1-十一月-2005
摘要: In predictive image coding, the least squares (LS)-based adaptive predictor is noted as an efficient method to improve prediction result around edges. However pixel-by-pixel optimization of the predictor coefficients leads to a high coding complexity. To reduce computational complexity, we activate the LS optimization process only when the coding pixel is around an edge or when the prediction error is large. We propose a simple yet effective edge detector using only causal pixels. The system can look ahead to determine if the coding pixel is around an edge and initiate the LS adaptation to prevent the occurrence of a large prediction error. Our experiments show that the proposed approach can achieve a noticeable reduction in complexity with only a minor degradation in the prediction results.
URI: http://dx.doi.org/10.1109/TCSII.2005.852194
http://hdl.handle.net/11536/13081
ISSN: 1057-7130
DOI: 10.1109/TCSII.2005.852194
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume: 52
Issue: 11
起始頁: 751
結束頁: 755
顯示於類別:期刊論文


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