A New Perspective on Improving the Lossless Compression Efficiency for Initially Acquired Images

被引：4
作者：
Lin, Jianyu [1 ,2 ,3 ]
机构：
[1] Shantou Univ, Dept Elect Engn, Shantou 515063, Peoples R China
[2] Guangdong Prov Key Lab Digital Signal & Image Pro, Shantou 515063, Peoples R China
[3] Shantou Univ, Minist Educ, Key Lab Intelligent Mfg Technol, Shantou 515063, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
关键词：
Lossless image compression; lossy subband image compression; compression efficiency at high bitrates; Golomb coding; run-length based entropy coding; entropy-constrained scalar quantization; ALGORITHM;
D O I：
10.1109/ACCESS.2019.2944658
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new lossless compression scheme of compressing the initially-acquired continuous-intensity images with a lossy compression algorithm to obtain higher compression efficiency is proposed. Even if a lossy algorithm is employed, for decoded original images, there is no loss of data in the same sense as the conventional lossless scheme. To realize the new idea, the compression efficiency of the existing lossy subband compression algorithm is improved at high bitrates. For the entropy coding part, a run-length based, symbol-grouping entropy coding method is introduced. For the quantization part, the entropy-constrained scalar quantization is implemented using a novel and simple thresholding method. Coding results show that bit savings of the proposed lossless scheme, which employs a lossy algorithm, over the conventional lossless scheme achieve a maximum of 27.2% and an average of 11.4% in our test.
引用
收藏
页码：144895 / 144906
页数：12
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