Perceptual quality evaluation of geometric distortions in images

Perceptual Quality Impact of Geometric Distortion in Images

This paper presents a study on the human perception of geometric distortions in images. The first part of the study is the design and implementation of a user-test to measure human perception of geometric distortions in images. The result of this test is then used to evaluate the performance of the second part of the study, namely the objective quality measurement scheme. Our experiment shows t...

A psychovisual experiment on the use of Gibbs potential for the quality assessment of geometrically distorted images

Human perception of image distortions has been widely explored in recent years, however, research has not dealt with distortions due to geometric operations. As a consequence, there is a lack of objective visual quality measures for this class of distortions. In this paper we propose a method of objectively assessing the perceptual quality of geometrically distorted images. Our approach is base...

Document Image Dewarping Based on Text Line Detection and Surface Modeling (RESEARCH NOTE)

Document images produced by scanner or digital camera, usually suffer from geometric and photometric distortions. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on finding text lines by dynamic local connectivity map and then applying a l...

Perceptual Quality Evaluation of Geometric Distorsions in Images

Perceptual quality evaluation of geometrically distorted images using relevant geometric transformation modeling

One of the most active research area in the watermarking community is the research in dealing with geometric distortion. The geometric distortion problem has two aspects, namely its effect on watermark detectability and its effect on the perceptual quality of the watermarked data. Most research in this area has been concentrated on addressing the first aspect of the problem, and research on obj...