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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2016.2612884
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|a eng
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|a Xiulian Peng
|e verfasserin
|4 aut
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|a Hash-Based Line-by-Line Template Matching for Lossless Screen Image Coding
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|c 2016
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 17.07.2018
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|a Date Revised 17.07.2018
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Template matching (TM) was proposed in the literature a decade ago to efficiently remove non-local redundancies within an image without transmitting any overhead of displacement vectors. However, the large computational complexity introduced at both the encoder and the decoder, especially for a large search range, limits its widespread use. This paper proposes a hash-based line-by-line template matching (hLTM) for lossless screen image coding, where the non-local redundancy commonly exists in text and graphics parts. By hash-based search, it can largely reduce the search complexity of template matching without an accuracy degradation. Besides, the line-by-line template matching increases prediction accuracy by using a fine granularity. Experimental results show that the hLTM can significantly reduce both the encoding and decoding complexities by 68 and 23 times, respectively, compared with the traditional TM with a search radius of 128. Moreover, when compared with High Efficiency Video Coding screen content coding test model SCM-1.0, it can largely improve coding efficiency by up to 12.68% bits saving on screen contents with rich texts/graphics
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|a Journal Article
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|a Jizheng Xu
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 25(2016), 12 vom: 15. Dez., Seite 5601-5609
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|x 1941-0042
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|g volume:25
|g year:2016
|g number:12
|g day:15
|g month:12
|g pages:5601-5609
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|u http://dx.doi.org/10.1109/TIP.2016.2612884
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