Visually Lossless Perceptual Image Coding Based on Natural- Scene Masking Models

Zhang, Yi; Alam, Mushfiqul; Chandler, Damon M.

doi:10.5772/65362

Cited by 3 publications

(4 citation statements)

References 38 publications

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“…In another study the visibility of distortion is estimated using a masking model based on a non-linear process involving the contrast of the masking signal and the threshold contrast [171]. The perceptual coding scheme proposed in [172] makes use of the Watson-Solomon Contrast Gain Control (CGC) [173] model to optimize the performance of High Efficiency Video Coding (HEVC) technique. It is worth noticing that most of visually lossless coding methods in the literature exploit the contrast measure in an explicit or implicit manner [174].…”

Section: E Perceptual Coding and Quantizationmentioning

confidence: 99%

“…It is worth noticing that most of visually lossless coding methods in the literature exploit the contrast measure in an explicit or implicit manner [174]. The only contrast model for perceptual coding and quantization that seems to be complete and efficient is the one introduced recently in [172]. Therefore, we recommend using this model for perceptual coding.…”

Section: E Perceptual Coding and Quantizationmentioning

confidence: 99%

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A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing

Beghdadi¹,

Qureshi

Amirshahi

et al. 2020

IEEE Access

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Contrast in visible images is one of the most relevant characteristics of visual signals. Since the pioneering works performed in vision psychology and optics, different definitions have been proposed in the literature. However, for the time being there exist no definition of contrast on which the vision research and visual processing scientific community can agree on. This makes it critical to have a clear view on the notion of contrast and its use in various applications. One issue to consider is how to define and particularly use this important measure in developing image processing and analysis methods. In this paper, we present a critical review of contrast measures and associated models developed by the scientific community in vision, optics, and image processing. We also provide learned lessons and guidelines on the use of appropriate contrast measures in selected visual information processing and analysis applications. We discuss challenges and propose research avenues for models enriched by recent findings in the field of human vision research and machine learning. We believe that this work serves as a guideline and can potentially open new research perspectives to the scientific community working on visual information processing and analysis.

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Section: E Perceptual Coding and Quantizationmentioning

confidence: 99%

Section: E Perceptual Coding and Quantizationmentioning

confidence: 99%

A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing

Beghdadi¹,

Qureshi

Amirshahi

et al. 2020

IEEE Access

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“…There is a rich literature in image quality assessment that looks at visual masking (see e.g. [10,11]), yet no one seems to have explicitly studied change blindness. Lowlevel masking effects such as luminance or contrast masking are well researched but they do not have a direct effect on change blindness.…”

Section: Introductionmentioning

confidence: 99%

“…• Low-level masking prevents perception of differences between stimuli even if we know where they are. It includes mainly luminance, contrast, texture and structure masking [12,10,11]. It is typically associated with early vision mechanisms like luminance adaptation, contrast sensitivity, visual ensembles, etc.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Effect of High-Level Visual Masking in Subjective Image Quality Assessment with Priming

Moan

Pedersen

2018

2018 25th IEEE International Conference on Image Processing (ICIP)

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Despite recent advances in subjective image quality research, this topic still calls for many fundamental questions. Though we understand several early vision mechanisms fairly well, little is known about late vision and how the two interact with each other. Here, we look at one particular limitation of our visual system that stems from failures of that interaction: high-level visual masking, best illustrated by the change blindness paradigm. We carried out a user study designed specifically to measure the influence of high-level masking by priming. Results suggest a significant influence of high-level masking in image fidelity assessment at the 95% confidence level for half of the participants, with an average magnitude over three times that of intra-observer variability.

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A study of sine–cosine oscillation heterogeneous PCNN for image quantization

Yang

Lian

et al. 2019

Soft Comput

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Visually Lossless Perceptual Image Coding Based on Natural- Scene Masking Models

Cited by 3 publications

References 38 publications

A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing

A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing

Measuring the Effect of High-Level Visual Masking in Subjective Image Quality Assessment with Priming

A study of sine–cosine oscillation heterogeneous PCNN for image quantization

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