Modified Advanced Image Coding

IF 2.6 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Zhengbing Zhang, R. Veerla, K. Rao
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引用次数: 11

Abstract

JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Several papers have been published to improve the performance of JPEG. Advanced image coding (AIC) combines intra frame block prediction from H.264 with a JPEG-style DCT, followed by context adaptive binary arithmetic coding (CABAC) used in H.264. It performs much better than JPEG and close to JPEG-2000. In this paper, we propose a modified AIC (M-AIC) by replacing the CABAC in AIC with a Huffman coder and an adaptive arithmetic coder. The simulation results demonstrate that M-AIC performs much better than JPEG, close to JPEG-2000 and AIC, and a little bit better than AIC in some low bit rate range.
改进的高级图像编码
JPEG是一种流行的基于dct的静态图像压缩标准,自诞生以来在图像存储和传输方面发挥了重要作用。已经发表了几篇论文来提高JPEG的性能。高级图像编码(AIC)将H.264的帧内块预测与jpeg风格的DCT相结合,然后是H.264中使用的上下文自适应二进制算术编码(CABAC)。它的性能比JPEG好得多,接近JPEG-2000。本文提出了一种改进的AIC (M-AIC),将AIC中的CABAC替换为Huffman编码器和自适应算术编码器。仿真结果表明,M-AIC的性能明显优于JPEG,接近JPEG-2000和AIC,在较低的码率范围内略优于AIC。
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来源期刊
Journal of Systems Science & Complexity
Journal of Systems Science & Complexity 数学-数学跨学科应用
CiteScore
3.80
自引率
9.50%
发文量
90
审稿时长
6-12 weeks
期刊介绍: The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.
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