Automatic filter coefficient calculation in lifting scheme wavelet transform for lossless image compression

2020 ◽  
Author(s):  
Ignacio Hernández-Bautista ◽  
Jesús Ariel Carrasco-Ochoa ◽  
José Francisco Martínez-Trinidad ◽  
José Juan Carbajal-Hernández
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Lifting Scheme ◽  
Filter Coefficient ◽  
Lossless Image Compression

scholarly journals Bit Plane Slicing, Wavelet and Polynomials Mixing for Image Compression

2019 ◽  
pp. 2497-2505
Author(s):  
Rana Talib Al-Timimi
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Medical Images ◽  
Hybrid Technique ◽  
Lossless Image Compression ◽  
Compression Performance ◽  
High Compression ◽  
Non Linear ◽  
Bit Plane ◽  
Bit Plane Slicing

     This paper introduced a hybrid technique for lossless image compression of natural and medical images; it is based on integrating the bit plane slicing and Wavelet transform along with a mixed polynomial of linear and non linear base. The experiments showed high compression performance with fully grunted reconstruction.

scholarly journals Hybrid Adaptive Lossless Image Compression Based on Discrete Wavelet Transform

Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 751 ◽  
Author(s):  
Roman Starosolski
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Jpeg 2000 ◽  
Lossless Image Compression ◽  
Photographic Images ◽  
Screen Content ◽  
Compression Time ◽  
The Cost

A new hybrid transform for lossless image compression exploiting a discrete wavelet transform (DWT) and prediction is the main new contribution of this paper. Simple prediction is generally considered ineffective in conjunction with DWT but we applied it to subbands of DWT modified using reversible denoising and lifting steps (RDLSs) with step skipping. The new transform was constructed in an image-adaptive way using heuristics and entropy estimation. For a large and diverse test set consisting of 499 photographic and 247 non-photographic (screen content) images, we found that RDLS with step skipping allowed effectively combining DWT with prediction. Using prediction, we nearly doubled the JPEG 2000 compression ratio improvements that could be obtained using RDLS with step skipping. Because for some images it might be better to apply prediction instead of DWT, we proposed compression schemes with various tradeoffs, which are practical contributions of this study. Compared with unmodified JPEG 2000, one scheme improved the compression ratios of photographic and non-photographic images, on average, by 1.2% and 30.9%, respectively, at the cost of increasing the compression time by 2% and introducing only minimal modifications to JPEG 2000. Greater ratio improvements, exceeding 2% and 32%, respectively, are attainable at a greater cost.

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