عنوان

Image Quality Assessment of Computer-generated Images : Based on Machine Learning and Soft Computing

شماره استاندارد

electronic

عنوان اصلي

Image Quality Assessment of Computer-generated Images : Based on Machine Learning and Soft Computing

محل نشرو پخش و غیره

Cham

نام ناشر، پخش کننده و غيره

Springer

تاریخ نشرو بخش و غیره

2018

متن يادداشت

by Andre Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin

متن يادداشت

Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft computing. It is aimed at students, practitioners and researchers in the field of image processing and related areas such as computer graphics and visualization. In this book, we first clarify the differences between natural scene images and computer-generated images, and address the problem of Image Quality Assessment )IQA( by focusing on the visual perception of noise. Rather than using known perceptual models, we first investigate the use of soft computing approaches, classically used in Artificial Intelligence, as full-reference and reduced-reference metrics. Thus, by creating Learning Machines, such as SVMs and RVMs, we can assess the perceptual quality of a computer-generated image. We also investigate the use of interval-valued fuzzy sets as a no-reference metric. These approaches are treated both theoretically and practically, for the complete process of IQA. The learning step is performed using a database built from experiments with human users and the resulting models can be used for any image computed with a stochastic rendering algorithm. This can be useful for detecting the visual convergence of the different parts of an image during the rendering process, and thus to optimize the computation. These models can also be extended to other applications that handle complex models, in the fields of signal processing and image processing.

متن يادداشت

Introduction -- Monte-Carlo Methods for Image Synthesis -- Visual Impact of Rendering on Image Quality -- Full-reference Methods and Machine Learning -- No-reference Methods and Fuzzy Sets -- Reduced-reference Methods -- Conclusio

عنصر شناسه ای

، Computational intelligence

عنصر شناسه ای

، Computer graphics

عنصر شناسه ای

، Computer science

شماره رده

کد نقش

AU

عنصر شناسه اي

AU Bigand, Andre

عنصر شناسه اي

AU Constantin, Joseph

عنصر شناسه اي

AU Dehos, Julien

عنصر شناسه اي

AU Renaud, Christophe