SCIENCE@home

Inpainted Image Quality Evaluation Based on Saliency Map Features

Dariush Amirkhani,A. Bastanfard

Published 2019 in 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)

ABSTRACT

Digital image inpainting is one of the most important areas in image processing science. Digital image inpainting is a set of methods to inpaint or refill the damaged areas of the images. Given the increasing use of image inpainting and the lack of a good metric for evaluating image inpainting, there is a challenge in this field. In this study an objective evaluation method for image inpainting is developed. In the proposed method, first, 100 images were inpainted using exemplar-based algorithm, then, the saliency map and its complementary region in the original image are obtained and based on saliency map features, a new objective measure for evaluation of inpainted images is proposed. A term called compensation have been taken into account. To assess the performance of the proposed objective measure, inpainted images are also evaluated using a subjective test. The experiments demonstrate that the proposed objective measure correlates with qualitative opinion in a human observer study. Finally, the objective measure is compared against three other measures and the results show that our proposed objective measure is better than the others.

PUBLICATION RECORD

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-53 of 53 references · Page 1 of 1

CITED BY

Showing 1-18 of 18 citing papers · Page 1 of 1