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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2018.2806281
|2 doi
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|a pubmed24n0939.xml
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|a DE-627
|b ger
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|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Zhu, Shuyuan
|e verfasserin
|4 aut
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| 245 |
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|a Compression-Dependent Transform-Domain Downward Conversion for Block-Based Image Coding
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|c 2018
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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| 500 |
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|a Date Completed 30.07.2018
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|a Date Revised 30.07.2018
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Transform-domain downward conversion (TDDC) for image coding is usually implemented by discarding some high-frequency components from each transformed block. As a result, a block of fewer coefficients is formed, and a lower compression cost is achieved due to the coding of only a few low-frequency coefficients. In this paper, we focus on the design of a new TDDC-based coding method by using our proposed interpolation-compression directed filtering (ICDF) and error-compensated scalar quantization (ECSQ), leading to the compression-dependent TDDC (CDTDDC)-based coding. More specifically, ICDF is first used to convert each macro-block into an coefficient block. Then, this coefficient block is compressed with ECSQ, resulting in a smaller compression distortion for those pixels that locate at some specific positions of a macro-block. We select these positions according to the 4:1 uniform sub-sampling lattice and use the pixels locating at them to reconstruct the whole macro-block through an interpolation. The proposed CDTDDC-based coding can be applied to compress both grayscale and color images. More importantly, when it is used in the color image compression, it offers not only a new solution to reduce the data-size of chrominance components but also a higher compression efficiency. Experimental results demonstrate that applying our proposed CDTDDC-based coding to compress still images can achieve a significant quality gain over the existing compression methods
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a He, Zhiying
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Meng, Xiandong
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhou, Jiantao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zeng, Bing
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 27(2018), 6 vom: 27. Juni, Seite 2635-2649
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
1 |
8 |
|g volume:27
|g year:2018
|g number:6
|g day:27
|g month:06
|g pages:2635-2649
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| 856 |
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|u http://dx.doi.org/10.1109/TIP.2018.2806281
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