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Visual ComputerVolume 40, Issue 5, May 2024, Pages 3747-3763

A simple and reliable approach to providing a visually lossless image compression(Article)

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  • aMilitary Academy, University of Defence in Belgrade, Veljka Lukića Kurjaka 33, 11000, Serbia
  • bFaculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, Novi Sad, 21000, Serbia

Abstract

This paper presents an approach for providing the desired visually lossless quality of Joint Photographic Experts Group (JPEG) and Versatile Video Coding (VVC) compressed images. The desired quality is defined as the peak signal-to-noise ratio (PSNR) of the first just noticeable difference (JND) point, which represents the boundary between visually lossless and visually lossy image compression. The proposed approach is based on a piecewise linear interpolation of the PSNR as a function of the parameter that controls the degree of compression—the quality factor (QF) or the quantization parameter (QP). The desired quality is obtained by determining the PSNR value for only two or three values of the QF or QP. The accuracy of the proposed approach was investigated on three publicly available image databases with available results of subjective JND tests on nearly 300 high-resolution images. It has been shown that the maximum difference between the desired and provided quality of JPEG compressed images is 0.3 dB, while the maximum difference in images with VVC compression is slightly larger and is approximately 0.5 dB. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.

Author keywords

JPEG compressionJust noticeable difference (JND)Peak signal-to-noise ratio (PSNR)Visually lossless qualityVVC compression

Indexed keywords

Engineering controlled terms:Image compressionImage qualityPiecewise linear techniquesSignal to noise ratioVideo signal processing
Engineering uncontrolled termsJoint photographic expert group compressionJoint photographic experts groupJust noticeable differenceJust-noticeable differenceLosslessPeak signal to noise ratioPeak signal-to-noise ratioQuality of jointVersatile video coding compressionVisually lossless quality
Engineering main heading:Image coding
  • ISSN: 01782789
  • CODEN: VICOE
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1007/s00371-023-03062-y
  • Document Type: Article
  • Publisher: Springer Science and Business Media Deutschland GmbH

  Bondžulić, B.; Military Academy, University of Defence in Belgrade, Veljka Lukića Kurjaka 33, Serbia;
© Copyright 2024 Elsevier B.V., All rights reserved.

Cited by 4 documents

Tariq, J. , Javed, I. , Sadiq, T.
Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis
(2025) IEEE Access
Li, F. , Ieremeiev, O. , Lukin, V.
BPG-Based Lossy Compression of Three-Channel Remote Sensing Images with Visual Quality Control
(2024) Remote Sensing
Bondžulić, B.P. , Stojanović, N.M. , Lukin, V.V.
JPEG and BPG visually lossless image compression via KonJND-1k database | Compresión de imágenes JPEG y BPG sin pérdida visual a través de la base de datos KonJND-1k
(2024) Military Technical Courier/Vojnotehnicki glasnik
View details of all 4 citations
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