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Titlebook: Vision Models and Applications to Image and Video Processing; Christian J. Branden Lambrecht Book 2001 Springer Science+Business Media Dor

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書(shū)目名稱(chēng)Vision Models and Applications to Image and Video Processing
編輯Christian J. Branden Lambrecht
視頻videohttp://file.papertrans.cn/984/983601/983601.mp4
圖書(shū)封面Titlebook: Vision Models and Applications to Image and Video Processing;  Christian J. Branden Lambrecht Book 2001 Springer Science+Business Media Dor
描述I came to vision science trying to solve an engineering problem: I was trying to come up with test and measurement methodologies for digital video systems. One of the metrics I wanted to use was some measurement of image quality. After some experiments and after an overview of the literature, I had to realize that simple computational metrics, such as the mean square error, are not very effective for this purpose. This led me to study notions of vision science and vision modeling. As an engineer, I found it fascinating. Vision science uses computational tools and modeling techniques that are very similar to what we use in signal processing, yet it brings you to a new domain that lies at the intersection of engineering, biology and cognitive psychology. Over the years, vision science has made tremendous contributions to engineering and to the field of image processing in particular. Such contributions include half toning matrices for the printing industry, color correction for digital cameras, quantization matrices for image coding. As imaging devices are becoming commodities, the impact of vision science is becoming even more significant. This book is meant to appeal to an engineer
出版日期Book 2001
關(guān)鍵詞Color space; Perception; Signal; Standard; algorithms; image processing; metrics; modeling; signal processin
版次1
doihttps://doi.org/10.1007/978-1-4757-3411-9
isbn_softcover978-1-4419-4905-9
isbn_ebook978-1-4757-3411-9
copyrightSpringer Science+Business Media Dordrecht 2001
The information of publication is updating

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Modeling Contrast Thresholds, contrast sensitivity function (CSF)[2]. Human visual system (HVS) models fall into two broad categories: single resolution and multi-resolution. Single resolution models typically use a low-pass (or a band-pass) filter as the first stage. These models have the advantage of computational simplicity
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The Psychophysical Measurement of Image Quality,bjective) measurement and (subjective) judgement are usually kept very separate, the above question may need some clarification. We will start by making more precise what is understood by measurement and subjective in the current context.
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Color Spaces and Color Metrics, properties is that, even without reference to the spatial structure of the image, knowledge of the cone absorption properties can be used to predict when a pair of lights with different spectral power distributions will match in appearance. While the cone absorptions may tell us that two lights mat
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Vision and Video: Models and Applications,en installing digital video equipment at an ever-increasing rate. The border line between analog and digital video is moving closer and closer to the consumer. Digital satellite and cable service have been available for a while, and recently terrestrial digital television broadcast has been introduc
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