An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling

Traditionally, prior to compressing an RGB full-color image, for each converted <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> CbCr block <inline-formula> <tex-math notation="LaTeX">$B^{CbCr}$ </tex-math...

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Autores principales:	Kuo-Liang Chung, Chih-Yuan Huang, Chen-Wei Kao
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Chroma subsampling-first luma modification (CSFLM) convex distortion function iterative luma optimization quality-bitrate tradeoff quality enhancement RGB full-color image Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/6f19c238773d45358ab7efecaad84f0b
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spelling	oai:doaj.org-article:6f19c238773d45358ab7efecaad84f0b2021-11-18T00:01:29ZAn Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling2169-353610.1109/ACCESS.2021.3125713https://doaj.org/article/6f19c238773d45358ab7efecaad84f0b2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9605257/https://doaj.org/toc/2169-3536Traditionally, prior to compressing an RGB full-color image, for each converted <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> CbCr block <inline-formula> <tex-math notation="LaTeX">$B^{CbCr}$ </tex-math></inline-formula>, chroma subsampling only downsamples <inline-formula> <tex-math notation="LaTeX">$B^{CbCr}$ </tex-math></inline-formula>, but without changing the luma block <inline-formula> <tex-math notation="LaTeX">$B^{Y}$ </tex-math></inline-formula> at all. In the current research, a special linear interpolation-based, namely the COPY-based, chroma subsampling-first luma modification (CSFLM) study has attempted to change the luma block for enhancing the quality of the reconstructed RGB full-color image. In this paper, a fast and effective nonlinear interpolation, namely the bicubic convolution interpolation (BCI), based iterative luma modification method for CSFLM is proposed. In our iterative method, a BCI-based distortion function and its convex property proof are first provided. Next, based on the proposed convex distortion function, a pseudoinverse technique is applied to obtain the initial luma modification solution, and then an iterative method is proposed to improve the initial luma modification solution. Based on five testing image datasets, namely the IMAX, Kodak, SCI (screen content images), CI (classical images), and Video datasets, the thorough experimental results have demonstrated that on the newly released Versatile Video Coding (VVC) platform VTM-12.0, our iterative luma modification method achieves substantial quality, execution-time, and quality-bitrate tradeoff improvements when compared with the existing state-of-the-art methods.Kuo-Liang ChungChih-Yuan HuangChen-Wei KaoIEEEarticleChroma subsampling-first luma modification (CSFLM)convex distortion functioniterative luma optimizationquality-bitrate tradeoffquality enhancementRGB full-color imageElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149744-149755 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chroma subsampling-first luma modification (CSFLM) convex distortion function iterative luma optimization quality-bitrate tradeoff quality enhancement RGB full-color image Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Chroma subsampling-first luma modification (CSFLM) convex distortion function iterative luma optimization quality-bitrate tradeoff quality enhancement RGB full-color image Electrical engineering. Electronics. Nuclear engineering TK1-9971 Kuo-Liang Chung Chih-Yuan Huang Chen-Wei Kao An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling
description	Traditionally, prior to compressing an RGB full-color image, for each converted <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> CbCr block <inline-formula> <tex-math notation="LaTeX">$B^{CbCr}$ </tex-math></inline-formula>, chroma subsampling only downsamples <inline-formula> <tex-math notation="LaTeX">$B^{CbCr}$ </tex-math></inline-formula>, but without changing the luma block <inline-formula> <tex-math notation="LaTeX">$B^{Y}$ </tex-math></inline-formula> at all. In the current research, a special linear interpolation-based, namely the COPY-based, chroma subsampling-first luma modification (CSFLM) study has attempted to change the luma block for enhancing the quality of the reconstructed RGB full-color image. In this paper, a fast and effective nonlinear interpolation, namely the bicubic convolution interpolation (BCI), based iterative luma modification method for CSFLM is proposed. In our iterative method, a BCI-based distortion function and its convex property proof are first provided. Next, based on the proposed convex distortion function, a pseudoinverse technique is applied to obtain the initial luma modification solution, and then an iterative method is proposed to improve the initial luma modification solution. Based on five testing image datasets, namely the IMAX, Kodak, SCI (screen content images), CI (classical images), and Video datasets, the thorough experimental results have demonstrated that on the newly released Versatile Video Coding (VVC) platform VTM-12.0, our iterative luma modification method achieves substantial quality, execution-time, and quality-bitrate tradeoff improvements when compared with the existing state-of-the-art methods.
format	article
author	Kuo-Liang Chung Chih-Yuan Huang Chen-Wei Kao
author_facet	Kuo-Liang Chung Chih-Yuan Huang Chen-Wei Kao
author_sort	Kuo-Liang Chung
title	An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling
title_short	An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling
title_full	An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling
title_fullStr	An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling
title_full_unstemmed	An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling
title_sort	effective bicubic convolution interpolation-based iterative luma optimization for enhancing quality in chroma subsampling
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/6f19c238773d45358ab7efecaad84f0b
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An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling

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