Authors:
Hayato Teranaka
and
Minoru Nakayama
Affiliation:
Tokyo Institute of Technology, Japan
Keyword(s):
Image Quality Assessment, Image Impairment, Image Processing, Saliency Map, Subjective Evaluation.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Visual Attention and Image Saliency
Abstract:
An automated mechanical assessment procedure is required to evaluate image quality and impairment. This paper proposes a procedure for image impairment assessment using visual attention, such as saliency maps of the impaired images. To evaluate the performance of this image assessment procedure, an experiment was conducted to study viewer’s subjective evaluations of impaired images, and the relationships between viewer’s ratings and a previously developed set of values were then analyzed. Also, the limitations of the procedure which was developed were discussed in order to improve assessment performance. The use of image features and frequency-domain representation values for the test images was proposed.