Optimizing Image Quality
نویسندگان
چکیده
The fact that multimedia services have become the major driver for next generation wireless networks underscores their technological and economic impact. A vast majority of these multimedia services are consumer-centric and therefore must guarantee a certain level of perceptual quality. Given the massive volumes of image and video data in question, it is only natural to adopt automatic quality prediction and optimization tools. The past decade has seen the invention of several excellent automatic quality prediction tools for natural images and videos. While these tools predict perceptual quality scores accurately, they do not necessarily lend themselves to standard optimization techniques. In this chapter, a systematic framework for optimization with respect to a perceptual quality assessment algorithm is presented. The Structural SIMilarity (SSIM) index, which has found vast commercial acceptance owing to its high performance and low complexity, is the representative image quality assessment model that is studied. Specifically, a detailed exposition of the mathematical properties of the SSIM index is presented first, followed by a discussion on the design of linear and non-linear SSIM-optimal image restoration algorithms. Dominique Brunet University of Waterloo, e-mail: [email protected] Sumohana S. Channappayya Indian Institute of Technology Hyderabad, e-mail: [email protected] Zhou Wang University of Waterloo, e-mail: [email protected] Edward R. Vrscay University of Waterloo, e-mail: [email protected] Alan C. Bovik The University of Texas at Austin, e-mail: [email protected]
منابع مشابه
Optimizing image steganography by combining the GA and ICA
In this study, a novel approach which uses combination of steganography and cryptography for hiding information into digital images as host media is proposed. In the process, secret data is first encrypted using the mono-alphabetic substitution cipher method and then the encrypted secret data is embedded inside an image using an algorithm which combines the random patterns based on Space Fillin...
متن کاملOptimizing image quality at constant effective dose by adjusting tube voltage for lumbar spine radiography using a flat panel system
متن کامل
Quality-Controlled Compression of Sets of Images
In this paper, we propose the QCLICS algorithm for quality-controlled JPEG compression of image sets. Lossy compression of images results in a tradeoo between compression and quality: the greater the compression, the poorer the reulting image quality. Quality-controlled compression has two goals: meeting the desired compres-sion/quality speciication accurately, and optimizing the compression-qu...
متن کاملComparison of Wavelet Image Coders Using the PictureQuality Scale ( PQS )
Image coding is one of the most visible applications of wavelets. There has been increasing number of reports each year since the late 1980's on the design of new wavelet coders and variations to existing ones. In this paper, we report some results from our comparative study of wavelet image coders using a perception-based, quantitative picture quality scale as the distortion measure. Coders ar...
متن کاملA Comparative Study of Wavelet Image Coders
We compare several wavelet-based coders in the encoding of still images. Two image quality metrics are used in our comparative study: a perception-based, quantitative picture quality scale and the conventional distortion measure, peak signal-to-noise ratio. Coders are evaluated in the rate-distortion sense. The e ects of di erent wavelets, quantizers, and encoders are assessed individually. Two...
متن کاملVisual-Quality Optimizing Super Resolution
In this paper, we propose a robust image super resolution algorithm, which aims to maximize the overall visual quality of super resolution results. We consider a good super resolution algorithm to be fidelity preserving, image detail enhancing and smooth. Accordingly, we define perception-based measures for these visual qualities. Based on these quality measures, we formulate image super resolu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017