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17 April 2019 Rate allocation with near-optimal rate-distortion performance for JPEG-LS
Shigao Li, Liming Jia
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Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 110710M (2019) https://doi.org/10.1117/12.2521483
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore
Abstract
Due to performance and low complexity, JPEG-LS become the standard of lossless and near-lossless image compression. However, it can’t accurately control code rate when it is applied in near-lossless compression. This paper is thus devoted to rate control for near-lossless image compression with JPEG-LS. A model of coding bit-rate under a high bit-rate with respect to mean absolute difference (MAD) and coding quantization parameters for prediction coding is first proposed. Then a rate control method for near-lossless compression is designed based on the model for JPEG-LS. In the process of a specific image coding, to control the bit-rate, quantitative parameters are adjusted piecewise based on the model. Experiments show that the proposed method can make final code rate close to a preset rate. It’s different from other methods that quantitative parameter fluctuating within a wide range can be avoided because of the accurate model of bit-rate. As a result, the proposed control method can achieve approximate optimal rate-distortion performance.
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Shigao Li and Liming Jia "Rate allocation with near-optimal rate-distortion performance for JPEG-LS", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710M (17 April 2019); https://doi.org/10.1117/12.2521483
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KEYWORDS
Image compression
Image processing
Image transmission
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