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Human visual system model

About: Human visual system model is a research topic. Over the lifetime, 8697 publications have been published within this topic receiving 259440 citations.


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Journal ArticleDOI
TL;DR: This work focuses on designing fixed basis functions based on optimizing criteria in the perceptual colorspace CIELab and the standardized device colorspace sRGB, and shows how probabilistic classification information can be layered on top of the visualization to create a customized nonlinear representation of an image set.
Abstract: Many remote-sensing applications produce large sets of images, such as hyperspectral images or time-indexed image sequences. We explore methods to display such image sets by linearly projecting them onto basis functions designed for the red, green, and blue (RGB) primaries of a standard tristimulus display, for the human visual system, and for the signal-to-noise ratio of the dataset, creating a single color image. Projecting the data onto three basis functions reduces the information but allows each datapoint to be rendered by a single color. Principal components analysis is perhaps the most commonly used linear projection method, but it is data adaptive and, thus, yields inconsistent visualizations that may be difficult to interpret. Instead, we focus on designing fixed basis functions based on optimizing criteria in the perceptual colorspace CIELab and the standardized device colorspace sRGB. This approach yields visualizations with rich meaning that users can readily extract. Example visualizations are shown for passive radar video and Airborne Visible/Infrared Imaging Spectrometer hyperspectral imagery. Additionally, we show how probabilistic classification information can be layered on top of the visualization to create a customized nonlinear representation of an image set.

85 citations

01 Oct 1987
TL;DR: A scheme to integrate intensity edges with stereo depth and motion field information and results from a Connection Machine algorithm are shown, showing the use of intensity edges to integrate other visual cues and to help discover discontinuities emerges as a general and powerful principle.
Abstract: Integration of several vision modules is likely to be one of the keys to the power and robustness of the human visual system. We suggest that integration is best performed at the location of discontinuities in early processes, such as discontinuities in image brightness, depth, motion, texture, and color. Coupled Markov Random Field models can be used to combine vision modalities with their discontinuities. We derive a scheme to integrate intensity edges with stereo depth and motion field information and show results from a Connection Machine algorithm on synthetic and natural images. The use of intensity edges to integrate other visual cues and to help discover discontinuities emerges as a general and powerful principle.

85 citations

01 Jan 2000
TL;DR: In this article, a review of image distortion measures is presented, which is a criterion that assigns a "quality number" to an image, i.e., a quality number is defined as the sum of a number of different distortion measures.
Abstract: Within this paper we review image distortion measures. A distortion measure is a criterion that assigns a "quality number" to an image. We distinguish between mathematical distortion measures and those distortion measures in-cooperating a priori knowledge about the imaging devices ( e.g. satellite images), image processing algorithms or the human physiology. We will consider representative examples of different kinds of distortion measures and are going to discuss them.

85 citations

Journal ArticleDOI
TL;DR: Improved adaptive performance of the proposed scheme is in resistant to several types of attacks in comparison with the previous schemes; the adaptive performance refers to the adaptive parameter of the luminance masking functioned to improve the performance or robustness of an image from any attacks.
Abstract: This paper proposes an adaptive watermarking scheme for e-government document images. The adaptive scheme combines the discrete cosine transform (DCT) and the singular value decomposition (SVD) using luminance masking. As a core of masking model in the human visual system (HVS), luminance masking is implemented to improve noise sensitivity. Genetic algorithm (GA), subsequently, is employed for the optimization of the scaling factor of the masking. Involving a number of steps, the scheme proposed through this study begins by calculating the mask of the host image using luminance masking. It is then continued by transforming the mask on each area into all frequencies domain. The watermark image, following this, is embedded by modifying the singular values of DCT-transformed host image with singular values of mask coefficient of host image and the control parameter of DCT-transformed watermark image using Genetic Algorithm (GA). The use of both the singular values and the control parameter respectively, in this case, is not only to improve the sensitivity of the watermark performance but also to avoid the false positive problem. The watermark image, afterwards, is extracted from the distorted images. The experiment results show the improved adaptive performance of the proposed scheme is in resistant to several types of attacks in comparison with the previous schemes; the adaptive performance refers to the adaptive parameter of the luminance masking functioned to improve the performance or robustness of an image from any attacks.

85 citations

Journal ArticleDOI
TL;DR: This paper surveys three-dimensional (3D) visual display technology as it relates to realtime, interactive systems—or virtual environment systems.
Abstract: This paper surveys three-dimensional 3D visual display technology as it relates to realtime, interactive systems-or virtual environment systems Five major 3D display types are examined: stereoscopic, lenticular, parallax barrier, slice-stacking, and holographic displays The major characteristics of each display type are examined, ie spatial resolution, depth resolution, field of view, viewing zone, bandwidth, etc In addition, the corresponding parameters of the human visual systems are described The different display systems, as well as the human visual system, are compared in tabular form

84 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202349
202294
2021279
2020311
2019351
2018348