Two-layer Lossless HDR Coding considering Histogram Sparseness with Backward Compatibility to JPEG

Watanabe, Osamu; Kobayashi, Hiroyuki; Kiya, Hitoshi

doi:10.1109/pcs.2018.8456254

Cited by 10 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coding quality is adapted to the visual saliency region. Watanabe et al [28] presented another backward compatible scheme to the legacy JPEG standard. Their two layer coding method using the histogram packing technique achieves better lossless compression performance than state-of-the-art JPEG-XT [18].…”

Section: Related Workmentioning

confidence: 99%

A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC

Sharma,

Wadaskar

2021

Preprint

View full text Add to dashboard Cite

Display technology must offer high dynamic range (HDR) contrast-based depth induction and 3D personalization simultaneously. Efficient algorithms to compress HDR stereo data is critical. Direct capturing of HDR content is complicated due to the high expense and scarcity of HDR cameras. The HDR 3D images could be generated in low-cost by fusing low-dynamicrange (LDR) images acquired using a stereo camera with various exposure settings. In this paper, an efficient scheme for coding multi-exposure stereo images is proposed based on a tensor low-rank approximation scheme. The multi-exposure fusion can be realized to generate HDR stereo output at the decoder for increased realism and exaggerated binocular 3D depth cues.For exploiting spatial redundancy/sparsity in LDR stereo images, the stack of multi-exposure stereo images is decomposed into a set of projection matrices and a core tensor following an alternating least squares Tucker decomposition model. The compact, low-rank representation of the scene, thus, generated is further processed by 3D extension of High Efficiency Video Coding standard. The encoding with 3D-HEVC enhance the proposed scheme efficiency by exploiting intra-frame, inter-view and the inter-component redundancies in low-rank approximated representation. We consider constant luminance property of IPT and Y C b Cr color space to precisely approximate intensity prediction and perceptually minimize the encoding distortion. Besides, the proposed scheme gives flexibility to adjust the bitrate of tensor latent components by changing the rank of core tensor and its quantization. Extensive experiments on natural scenes demonstrate that the proposed scheme outperforms state-of-theart JPEG-XT and 3D-HEVC range coding standards.

show abstract

Section: Related Workmentioning

confidence: 99%

A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC

Sharma,

Wadaskar

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Two-layer lossless coding based on the histogram-packing technique has been shown to outperform JPEG XT Part 8's lossless coding [26,27]. However, the histogram-packing technique can not be applied to near-lossless coding, due to not having any quantization.…”

Section: Zero-skip Quantization For Residual Imagesmentioning

confidence: 99%

“…The sparseness of an image histogram has been used for efficient lossless compression [15][16][17][18][19][20][21][22][23][24][25][26][27]. A 'Sparse' histogram means that not all the bins are used.…”

Section: Introductionmentioning

confidence: 99%

“…It is well known that a histogram of an HDR image tends to be sparse [23,25]. Two-layer lossless coding methods of HDR images with backward compatibility to the legacy JPEG standard have been proposed to overcome the problems with the JPEG XT Part 8 method [26,27]. However, these two-layer methods can not be applied to near-lossless coding due to a limitation of the histogram-packing technique.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG

Kobayashi,

Watanabe,

Kiya

2019

Preprint

Self Cite

View full text Add to dashboard Cite

We propose an efficient two-layer near-lossless coding method using an extended histogram packing technique with backward compatibility to the legacy JPEG standard. The JPEG XT, which is the international standard to compress HDR images, adopts a two-layer coding method for backward compatibility to the legacy JPEG standard. However, there are two problems with this two-layer coding method. One is that it does not exhibit better near-lossless performance than other methods for HDR image compression with singlelayer structure. The other problem is that the determining the appropriate values of the coding parameters may be required for each input image to achieve good compression performance of near-lossless compression with the two-layer coding method of the JPEG XT. To solve these problems, we focus on a histogram-packing technique that takes into account the histogram sparseness of HDR images. We used zero-skip quantization, which is an extension of the histogrampacking technique proposed for lossless coding, for implementing the proposed near-lossless coding method. The experimental results indicate that the proposed method exhibits not only a better nearlossless compression performance than that of the two-layer coding method of the JPEG XT, but also there are no issue regarding the combination of parameter values without losing backward compatibility to the JPEG standard.

show abstract

“…The extended coding has a two-layer structure, where the first layer, called base layer corresponds to the JPEG XS coding, and the second one, called extension layer is used for compressing residual data between an original image and the decoded image from the base layer. This two-layer structure has been inspired by JPEG XT Part 8 [17] and its extension [13]. The proposed coding is compatible with JPEG XS.…”

Section: Introduction Jpeg Xs Was Standardized As a New Still Image C...mentioning

confidence: 99%

Extension of JPEG XS for Two-Layer Lossless Coding

Kobayashi

Kiya

2020

2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)

Self Cite

View full text Add to dashboard Cite

A two-layer lossless image coding method compatible with JPEG XS is proposed. JPEG XS is a new international standard for still image coding that has the characteristics of very low latency and very low complexity. However, it does not support lossless coding, although it can achieve visual lossless coding. The proposed method has a two-layer structure similar to JPEG XT, which consists of JPEG XS coding and a lossless coding method. As a result, it enables us to losslessly restore original images, while maintaining compatibility with JPEG XS.

show abstract

Two-layer Lossless HDR Coding considering Histogram Sparseness with Backward Compatibility to JPEG

Cited by 10 publications

References 29 publications

A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC

A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC

Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG

Extension of JPEG XS for Two-Layer Lossless Coding

Contact Info

Product

Resources

About