Applied Vision最新文献

Applied Vision Pub Date : 1991-02-01 DOI: 10.5594/M00916

V. Bove, A. Lippman

{"title":"Open Architecture Television","authors":"V. Bove, A. Lippman","doi":"10.5594/M00916","DOIUrl":"https://doi.org/10.5594/M00916","url":null,"abstract":"During the past few years, potentially misdirected effort has been expended developing the notion of high definition television (HDTV) as a system akin to existing television but with approximately twice the spatial resolution horizontally and vertically, and with a slightly higher aspect ratio. System proponents have suggested “production” or distribution systems where the sole difference between current systems and these new ideas is the number of lines and the pixel rate. These efforts have resulted in international discord that may well result in a generation of television systems that impede international interchange of programs, fail to deliver higher quality to the consumer, and retard the technological convergence of computer workstation technology with that of consumer video. In this paper, we suggest that HDTV is an issue of system architecture rather than line count, and we explore signal representations that allow for multiple, simultaneous display of disparate TV standards on the same screen. The notions presented here are not fully developed but are fruitful areas of research and study. We suggest that a new generation of television systems be predicated upon sequential component representation of the video sequence rather than a series of frames and that consumer receivers and workstations be optimized for processing this video format.","PeriodicalId":344719,"journal":{"name":"Applied Vision","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131074296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Evaluation of Subjective Image Quality with the Square Root Integral Method 用平方根积分法评价主观图像质量

Applied Vision Pub Date : 1990-10-01 DOI: 10.1364/JOSAA.7.002024

P. Barten

引用次数: 214

Image Compression in Noise 噪声下的图像压缩

Applied Vision Pub Date : 1900-01-01 DOI: 10.1364/av.1989.wd5

S. Daly

{"title":"Image Compression in Noise","authors":"S. Daly","doi":"10.1364/av.1989.wd5","DOIUrl":"https://doi.org/10.1364/av.1989.wd5","url":null,"abstract":"Use of the CSF in Image Compression The visual system’s variations in sensitivity to spatial frequencies are critical to any imaging system where the image is to be displayed and viewed by a human observer. These variations are described by the contrast sensitivity function (CSF) which has found wide application in image compression schemes using the discrete cosine transform (DCT) [1-3], vector quantization [4], and spatial filter hierarchies [5]. All of these approaches provide access to the frequency domain, and the use of the CSF becomes straightforward in controlling the quantization process of the algorithm. Quantization is used to code the algorithm coefficients or vectors; an increase in the size of the quantization interval reduces the entropy, and thus the bit rate. However, larger quantization intervals increase the quantization error of the algorithm, which can be regarded as noise that will degrade the image if it is visible. This quantization noise must be detected in the presence of the effective internal noise of the visual system, which is proportional to the inverse of the CSF. Therefore, the inverse CSF can be used to scale the quantization intervals, allowing larger intervals for frequencies where the visual system is less sensitive and smaller intervals where it is more sensitive. If, for all frequencies, the maximum error of the frequency specific quantization noise is kept less than the effective internal noise of the frequency, the compressed image will be visually indistinguishable from the uncompressed image. We refer to this condition as perceptually lossless, as opposed to mathematically lossless, in which the digital code values are exactly preserved. Since the bit rates for perceptually lossless compression are less than a quarter of those for mathematically lossless compression, perceptually lossless compression is a useful criterion when the image is to be viewed by human observers.","PeriodicalId":344719,"journal":{"name":"Applied Vision","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distortion Metrics for Image Coding Using Monochrome and Color Human Visual Models 使用单色和彩色人类视觉模型的图像编码失真度量

Applied Vision Pub Date : 1900-01-01 DOI: 10.1364/av.1989.tha6

S. Budge

引用次数: 0

Learning in Interpolation Networks for Irregular Sampling: Some Convergence Properties 不规则采样插值网络的学习:一些收敛性质

Applied Vision Pub Date : 1900-01-01 DOI: 10.1364/av.1989.wc3

A. Ahumada, J. Mulligan

引用次数: 1

Neural Codes, Receptive Fields, and Visual Represenations 神经编码，接受野和视觉表征

Applied Vision Pub Date : 1900-01-01 DOI: 10.1364/av.1989.wb1

A. Watson