Modern Image Quality Assessment (Paperback)

This book is about objective image quality assessment—where the aim is to provide computational models that can automatically predict perceptual image quality. The early years of the 21st century have witnessed a tremendous growth in the use of digital images as a means for representing and communicating information. A considerable percentage of this literature is devoted to methods for improving the appearance of images, or for maintaining the appearance of images that are processed. Nevertheless, the quality of digital images, processed or otherwise, is rarely perfect. Images are subject to distortions during acquisition, compression, transmission, processing, and reproduction. To maintain, control, and enhance the quality of images, it is important for image acquisition, management, communication, and processing systems to be able to identify and quantify image quality degradations. The goals of this book are as follows; a) to introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems, b) to give a broad treatment of the current state-of-the-art in image quality assessment, by describing leading algorithms that address these engineering problems, and c) to provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the past. The book is written to be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial R&D engineers seeking to implement image/video quality assessment systems for specific applications, and academic theorists interested in developing new algorithms for image quality assessment or using existing algorithms to design or optimize other image processing applications.

這本書是關於客觀圖像品質評估的，目的是提供能夠自動預測知覺圖像品質的計算模型。21世紀初的幾年間，數字圖像的使用作為表示和傳遞信息的手段出現了巨大的增長。其中相當一部分文獻致力於改善圖像的外觀，或者保持經過處理的圖像的外觀。然而，數字圖像的品質，無論是否經過處理，很少是完美的。圖像在獲取、壓縮、傳輸、處理和複製過程中容易出現失真。為了維護、控制和增強圖像的品質，圖像獲取、管理、傳輸和處理系統能夠識別和量化圖像品質降低是非常重要的。

本書的目標如下：a)介紹圖像品質評估的基礎知識，並解釋相關的工程問題；b)廣泛介紹當前圖像品質評估的最新技術，描述解決這些工程問題的領先算法；c)介紹與過去使用的模型和範式顯著不同的最新模型和範式，為未來的研究提供新的方向。

本書的寫作旨在讓對圖像品質評估的最新技術感興趣的大學生能夠理解，讓專業的工業研發工程師能夠為特定應用實施圖像/視頻品質評估系統，並讓學術理論家能夠開發新的圖像品質評估算法或使用現有算法設計或優化其他圖像處理應用。