The topic of image quality assessment has been around for more than four decades. The last five years have seen a sudden acceleration in progress and interest in the area, which has corresponded with a rapid rise in interest in digital imaging in general, driven by technological advances and by the ubiquity of digital images and videos on the Internet. Modern Image Quality Assessment has three expressed goals: q Introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems q Provide a broad treatment of the current state-of-the-art in image quality assessment by describing leading algorithms that address engineering problems under different assumptions q Provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the past The book is intended for a wide readership. It will be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial RaD 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.Modern Image Quality Assessment has three expressed goals: aquot; Introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems aquot; Provide a broad treatment of the current state-of-the-art in image ...
|Title||:||Modern Image Quality Assessment|
|Author||:||Zhou Wang, Alan Conrad Bovik|
|Publisher||:||Morgan & Claypool Publishers - 2006-01-01|