2017 IEEE International Conference on Image Processing (ICIP) 2017
DOI: 10.1109/icip.2017.8296730
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Coding block-level perceptual video coding for 4:4:4 data in HEVC

Abstract: There is an increasing consumer demand for high bit-depth 4:4:4 HD video data playback due to its superior perceptual visual quality compared with standard 8-bit subsampled 4:2:0 video data. Due to vast file sizes and associated bitrates, it is desirable to compress raw high bit-depth 4:4:4 HD video sequences as much as possible without incurring a discernible decrease in visual quality. In this paper, we propose a Coding Block (CB)-level perceptual video coding technique for HEVC named Full Color Perceptual Q… Show more

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Cited by 4 publications
(8 citation statements)
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“…The 4:4:4 and 4:2:2 versions of these sequences contain a higher dynamic range (i.e., 10-bits per pixel per channel, which equates to 30-bits per pixel), whereas the 4:2:0 versions comprise 8-bits per pixel per channel. In our previously published work in [37], we provide empirical evidence that an absence of chroma subsampling in addition to a higher dynamic range for each colour channel are significantly advantageous for the perceptual quantisation of YCbCr data; this is particularly pertinent to 4:4:4 data. Therefore, this is the primary reason for employing a similar experimental setup to the one conducted in [37].…”
Section: Evaluation Results and Discussionmentioning
confidence: 86%
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“…The 4:4:4 and 4:2:2 versions of these sequences contain a higher dynamic range (i.e., 10-bits per pixel per channel, which equates to 30-bits per pixel), whereas the 4:2:0 versions comprise 8-bits per pixel per channel. In our previously published work in [37], we provide empirical evidence that an absence of chroma subsampling in addition to a higher dynamic range for each colour channel are significantly advantageous for the perceptual quantisation of YCbCr data; this is particularly pertinent to 4:4:4 data. Therefore, this is the primary reason for employing a similar experimental setup to the one conducted in [37].…”
Section: Evaluation Results and Discussionmentioning
confidence: 86%
“…As shown in Figure 7, the structural reconstruction errors are concentrated mostly in the high variance regions in the Y, Cb and Cr channels. This is primarily because the HVS is less capable of detecting quantisation-induced compression artifacts in high spatial variance regions of compressed luma and chroma data [37]. Therefore, in spite of the reconstruction errors shown in Figure 7, visually lossless coding is attained by Pixel-PAQ in both the AI QP = 22 test -and also RA QP = 22 test on the DuckAndLegs 4:4:4 sequence.…”
Section: Bitrate Reductions and Objective Visual Quality Evaluationsmentioning
confidence: 97%
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“…Variables μCb and μCr are computed in (7) and (8), respectively: (8) where variables zCb and sCr refer to the m th raw sample and the i th raw sample in a Cb CB and a Cr CB, respectively. Similar to our work in [33], which is closely related to our work in [34,35], we exploit the CU-level chroma Cb and Cr CB QP offset signaling mechanism in the Picture Parameter Set (PPS) [36]. This facilitates a straightforward encoder side implementation of SC-PAQ and therefore ensures that the resulting bitstream conforms to the HEVC standard (i.e., ITU-T with Rec.…”
Section: Proposed Sc-paq Techniquementioning
confidence: 99%