A Pixel-Based Framework for Blind Image Quality Assessment

Author

Paris, Stefano

Author_Institution

Lorraine Univ., Nancy, France

fYear

2013

fDate

15-16 April 2013

Firstpage

32

Lastpage

36

Abstract

Image quality assessment delivers an objective (algorithmic) score. This score must be correlated as much as possible to the human visual perception when seeing images distorted by some compression and/or transmission tools, e.g. JPEG compression, white noise, fast fading. The process can be a full-reference or a null-reference image quality assessment depending on if it has the knowledge of the original undistorted image. This paper presents a prospective for building a null-reference image quality assessment, for a given distorted image, its aim is to deliver both the global objective score and the distortion map where each pixel has a distortion measurement.

Keywords

data compression; image coding; blind image quality assessment; distortion measurement; full-reference image quality assessment; global objective score; human visual perception; null-reference image quality assessment; original undistorted image; pixel-based framework; Clustering algorithms; Databases; Image quality; Quality assessment; Training; Transform coding; euclidean distance; image quality assessment; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology (PICICT), 2013 Palestinian International Conference on

Conference_Location

Gaza

Print_ISBN

978-1-4799-0137-1

Type

conf

DOI

10.1109/PICICT.2013.16

Filename

6545934