A Novel Approach for Multi-View 3D HDR Content Generation via Depth Adaptive Cross Trilateral Tone Mapping

Sharma, Mansi; Venkatesh, M.; Ragavan, Gowtham; Lal, Rohan

doi:10.1109/ic3d48390.2019.8975988

Cited by 3 publications

(2 citation statements)

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“…Moreover, covering a range of bitrates assist in taking into account distortion considering the encoding of stereo LDR multiple exposure views and in conjunction regulate the reconstruction quality of fused HDR views. This is critical to achieve stereo personalization in 3D display applications with spontaneous realism and binocular 3D depth cues [19]- [21]. The results demonstrate that the required bitrate is much saved by the proposed scheme by efficiently exploiting the intraframe, inter-view and the inter-component redundancies in stereo multi-exposure LDR sequences.…”

Section: Discussionmentioning

confidence: 93%

“…In this work, we propose a new paradigm for coding multiexposure stereo images for 3D HDR display applications [19]- [21]. More specifically, we proposed a Tucker Decomposition based encoding model with 3D-HEVC that efficiently exploits the intra-frame, inter-view, inter-component redundancies and simultaneously takes the sparsity/low-rankness of latent multiexpsoure stereo images representation into consideration.…”

Section: Introductionmentioning

confidence: 99%

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

Sharma,

Wadaskar

2021

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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.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%