Topic
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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TL;DR: A novel objective full-reference measure of image quality (VPSNR), which is a modified PSNR measure that for images compressed by block-based compression algorithms (like JPEG) the proposed measure in the pixel domain matches well with MOS.
83 citations
TL;DR: A new objective assessment method for visual discomfort of stereoscopic images that makes effective use of the human visual attention model and can achieve significantly higher prediction accuracy than the state-of-the-art methods.
Abstract: We introduce a new objective assessment method for visual discomfort of stereoscopic images that makes effective use of the human visual attention model. The proposed method takes into account visual importance regions that play an important role in determining the overall degree of visual discomfort of a stereoscopic image. After obtaining a saliency-based visual importance map for an image, perceptually significant disparity features are extracted to predict the overall degree of visual discomfort. Experimental results show that the proposed method can achieve significantly higher prediction accuracy than the state-of-the-art methods.
83 citations
TL;DR: Experimental results on five public databases demonstrate that the proposed RR IQA method has performance consistent with the human perception under a small amount of reference data (only 9 values).
83 citations
TL;DR: A formal framework of visual language classes is presented, each class characterizes a family of visual languages based upon the nature of their graphical objects and composition rules.
Abstract: An important step in the design of visual languages is the specification of the graphical objects and the composition rules for constructing feasible visual sentences. The presence of different typologies of visual languages, each with specific graphical and structural characteristics, yields the need to have models and tools that unify the design steps for different types of visual languages. To this aim, in this paper we present a formal framework of visual language classes. Each class characterizes a family of visual languages based upon the nature of their graphical objects and composition rules. The framework has been embedded in the Visual Language Compiler–Compiler (VLCC), a graphical system for the automatic generation of visual programming environments.
83 citations
TL;DR: In this article, a perceptual component architecture for digital video partitions the image stream into signal components in a manner analogous to that used in the human visual system, consisting of achromatic and opponent color channels, divided into static and motion channels, further divided into bands of particular spatial frequency and orientation.
Abstract: A perceptual-components architecture for digital video partitions the image stream into signal components in a manner analogous to that used in the human visual system. These components consist of achromatic and opponent color channels, divided into static and motion channels, further divided into bands of particular spatial frequency and orientation. Bits are allocated to an individual band in accord with visual sensitivity to that band and in accord with the properties of visual masking. This architecture is argued to have desirable features such as efficiency, error tolerance, scalability, device independence, and extensibility.
82 citations