2017
DOI: 10.1007/s11042-017-5082-2
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Near lossless coding of sparse histogram images based on zero-skip quantization

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Cited by 11 publications
(5 citation statements)
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“…For the residual layer, which consists of the residual data generated by subtracting the partially decoded base layer from the original HDR image, the coding procedure after color space conversion from RGB to YCbCr differs from the Part 8 method. The histogram of each color component of the color-converted residual data is quantized using ZS.Q [28]. The packed residual data are then compressed using an arbitrary lossless image encoder, such as JPEG 2000 or JPEG XR.…”
Section: Outline Of Proposed Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…For the residual layer, which consists of the residual data generated by subtracting the partially decoded base layer from the original HDR image, the coding procedure after color space conversion from RGB to YCbCr differs from the Part 8 method. The histogram of each color component of the color-converted residual data is quantized using ZS.Q [28]. The packed residual data are then compressed using an arbitrary lossless image encoder, such as JPEG 2000 or JPEG XR.…”
Section: Outline Of Proposed Methodsmentioning
confidence: 99%
“…To extend the histogram-packing technique to two-layer nearlossless coding for HDR images, we focused on ZS.Q [28]. ZS.Q takes into account not only histogram sparseness but also the effect of quantization under a near-lossless condition.…”
Section: Zero-skip Quantization For Residual Imagesmentioning
confidence: 99%
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“…Our research group proposed a novel two layer lossless HDR coding method using a histogram packing technique, which has the backward compatibility to JPEG, referred to as HP coder [9], [10]. The packing technique allows us to improve the performance of lossless compression for HDR images when images have the histogram sparseness [11], [12]. The HP coder was demonstrated to outperform the normative JPEG XT encoder.…”
Section: Introductionmentioning
confidence: 99%
“…In Refs. [11,12,[22][23][24][25][26][27][28][29][30], the sparseness of a histogram of an image is used for efficient compression. 'Sparse' histogram means that not all the bins in a histogram are utilized.…”
Section: Introductionmentioning
confidence: 99%