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Journal ArticleDOI

Just-noticeable difference estimation with pixels in images

TLDR
A proposed scheme for estimating JND (just-noticeable difference) with explicit formulation for image pixels, by summing the effects of the visual thresholds in sub-bands, demonstrates favorable results in noise shaping and perceptual visual distortion gauge for different images, in comparison with the relevant existing JND estimators.
About
This article is published in Journal of Visual Communication and Image Representation.The article was published on 2008-01-01. It has received 108 citations till now. The article focuses on the topics: Human visual system model & Contrast (vision).

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Citations
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Journal ArticleDOI

Perceptual visual quality metrics: A survey

TL;DR: A systematic, comprehensive and up-to-date review of perceptual visual quality metrics (PVQMs) to predict picture quality according to human perception.
Journal ArticleDOI

Perceptually-Friendly H.264/AVC Video Coding Based on Foveated Just-Noticeable-Distortion Model

TL;DR: A foveation model as well as a foveated JND (FJND) model in which the spatial and temporal JND models are enhanced to account for the relationship between visibility and eccentricity is described.
Journal ArticleDOI

Enhanced Just Noticeable Difference Model for Images With Pattern Complexity

TL;DR: Considering both pattern complexity and luminance contrast, a novel spatial masking estimation function is deduced, and an improved JND estimation model is built, which performs highly consistent with the human perception.
Journal ArticleDOI

Just Noticeable Difference Estimation for Images With Free-Energy Principle

TL;DR: A novel just noticeable difference estimation model based on the unified brain theory, namely the free-energy principle is introduced and it is suggested that there exists disorderly concealment effect which results in high JND threshold of the disorderly region.
Journal ArticleDOI

Blind image watermarking via exploitation of inter-block prediction and visibility threshold in DCT domain

TL;DR: The backward-propagation neural network technique and just-noticeable difference model are incorporated into a block-wise discrete cosine transform (DCT)-based scheme to achieve effective blind image watermarking and apparently exhibits superior robustness and imperceptibility under the same payload capacity.
References
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Journal ArticleDOI

Contrast masking in human vision

TL;DR: A masking model is presented that encompasses contrast detection, discrimination, and masking phenomena that includes a linear spatial frequency filter, a nonlinear transducer, and a process of spatial pooling that acts at low contrasts only.
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Signal compression based on models of human perception

TL;DR: It is proposed that fundamental limits in the science can be expressed by the semiquantitative concepts of perceptual entropy and the perceptual distortion-rate function, and current compression technology is examined in that framework.
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Spatial Modulation Transfer in the Human Eye

TL;DR: The contrast sensitivity of the human eye for sinusoidal illuminance changes was measured as a function of spatial frequency, for monochromatic light with wavelengths of 450, 525, and 650 nm as discussed by the authors.
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Perceptual watermarks for digital images and video

TL;DR: Digital watermarking techniques are described, known as perceptually based watermarks, that are designed to exploit aspects of the the human visual system in order to provide a transparent (invisible), yet robust watermark.
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A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile

TL;DR: A new quantitative fidelity measure, termed as peak signal-to-perceptible-noise ratio (PSPNR), is proposed to assess the quality of the compressed image by taking the perceptible part of the distortion into account.
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