ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:MA-P5.9
Session:Image Representation, Rendering, Display, and Assesment
Time:Monday, October 9, 09:40 - 12:20
Presentation: Poster
Title: IMAGE QUALITY EVALUATION MODEL BASED ON LOCAL FEATURES AND SEGMENTATION
Authors: Yuukou Horita; University of Toyama 
 Masaharu Sato; University of Toyama 
 Yoshikazu Kawayoke; University of Toyama 
 Parvez Z. M. Sazzad; University of Toyama 
 Keiji Shibata; University of Toyama 
Abstract: The objective picture quality evaluation model for coded still picture without using the reference is very useful for quality oriented image compression. In this paper, a new objective no-reference (NR) picture quality evaluation model for JPEG is presented, which is easy to calculate and applicable to various image coding applications. The proposed model is based on the local features of the picture such as edge, flat and texture area and also on the blockiness, activity measures, and zero-crossing rate within block of the picture. Our experiments on various picture distortion types indicate that it performs significantly better than the conventional model.