The book encompasses the state-of-the-art visual quality assessment
(VQA) and learning based visual quality assessment (LB-VQA) by providing
a comprehensive overview of the existing relevant methods. It delivers
the readers the basic knowledge, systematic overview and new development
of VQA. It also encompasses the preliminary knowledge of Machine
Learning (ML) to VQA tasks and newly developed ML techniques for the
purpose. Hence, firstly, it is particularly helpful to the
beginner-readers (including research students) to enter into VQA field
in general and LB-VQA one in particular. Secondly, new development in
VQA and LB-VQA particularly are detailed in this book, which will give
peer researchers and engineers new insights in VQA.