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.
Papers published on a yearly basis
Papers
More filters
TL;DR: This paper proposes that by using multiple passes of the visual processing hierarchy, both bottom-up and top-down, and using task information to tune the processing prior to each pass, this paper can explain the different recognition behaviors that human vision exhibits.
54 citations
TL;DR: A simple conditional moment method is used to measure natural image statistics relevant for three fundamental visual tasks, revealing complex but systematic statistical regularities that can be exploited to substantially improve performance in the three tasks over what is possible with some standard image processing methods.
Abstract: Sensory systems exploit the statistical regularities of natural signals, and thus, a fundamental goal for understanding biological sensory systems, and creating artificial sensory systems, is to characterize the statistical structure of natural signals. Here, we use a simple conditional moment method to measure natural image statistics relevant for three fundamental visual tasks: (i) estimation of missing or occluded image points, (ii) estimation of a high-resolution image from a low-resolution image (“super resolution”), and (iii) estimation of a missing color channel. We use the conditional moment approach because it makes minimal invariance assumptions, can be applied to arbitrarily large sets of training data, and provides (given sufficient training data) the Bayes optimal estimators. The measurements reveal complex but systematic statistical regularities that can be exploited to substantially improve performance in the three tasks over what is possible with some standard image processing methods. Thus, it is likely that these statistics are exploited by the human visual system.
54 citations
Patent•
03 Aug 1995TL;DR: In this article, the wavelet transformed data is quantized by using a human visual quantization value for each region corresponding to the first, second and third quantization values, and the quantized data is entropy-encoded to generate compressed image data.
Abstract: Input image data is wavelet-transformed into wavelet transformed data. First, second and third quantization values respectively corresponding to the frequency variation, background brightness and edge state of the wavelet transformed data are determined. The wavelet transformed data is quantized by using a human visual quantization value for each region corresponding to the first, second and third quantization values. The quantized data is entropy-encoded to generate compressed image data.
54 citations
17 Feb 2010
TL;DR: A variety of perceptual phenomena are presented showing that a retinotopic representation is neither sufficient nor necessary to support form perception, and it is suggested that these manifolds are created by the emergence of dynamic reference-frames that result from motion segmentation.
Abstract: Geometry is closely linked to visual perception; yet, very little is known about the geometry of visual processing beyond early retinotopic organization. We present a variety of perceptual phenomena showing that a retinotopic representation is neither sufficient nor necessary to support form perception. We discuss the popular ?object files? concept as a candidate for nonretinotopic representations and, based on its shortcomings, suggest future directions for research using local manifold representations. We suggest that these manifolds are created by the emergence of dynamic reference-frames that result from motion segmentation. We also suggest that the metric of these manifolds is based on relative motion vectors.
54 citations
07 Dec 2001
TL;DR: This work developed a new image quality metric called foveated wavelet image quality index (FWQI) in the wavelet transform domain and shows its effectiveness by using it as a guide for optimal bit assignment of an embedded foveate image coding system.
Abstract: The human visual system (HVS) is highly non-uniform in sampling, coding, processing and understanding The spatial resolution of the HVS is highest around the point of fixation (foveation point) and decreases rapidly with increasing eccentricity Currently, most image quality measurement methods are designed for uniform resolution images These methods do not correlate well with the perceived foveated image quality Wavelet analysis delivers a convenient way to simultaneously examine localized spatial as well as frequency information We developed a new image quality metric called foveated wavelet image quality index (FWQI) in the wavelet transform domain FWQI considers multiple factors of the HVS, including the spatial variance of the contrast sensitivity function, the spatial variance of the local visual cut-off frequency, the variance of human visual sensitivity in different wavelet subbands, and the influence of the viewing distance on the display resolution and the HVS features FWQI can be employed for foveated region of interest (ROI) image coding and quality enhancement We show its effectiveness by using it as a guide for optimal bit assignment of an embedded foveated image coding system The coding system demonstrates very good coding performance and scalability in terms of foveated objective as well as subjective quality measurement© (2001) COPYRIGHT SPIE--The International Society for Optical Engineering Downloading of the abstract is permitted for personal use only
54 citations