Author(s)

Changchun Li ¹

Affiliation(s)

¹ Institute of Computer Application Technology, Changchun College of Electronic Technology, Changchun, Jilin, 130000, China

Corresponding Author

Changchun Li

ABSTRACT

In the process of image stitching, the image quality will decrease. In order to quantitatively analyze the stitching quality of stitched images, an objective quality evaluation algorithm based on information entropy is designed. Based on the structural similarity parameter analysis, this algorithm completes the parameter adjustment by comparing and analyzing the structural similarity between images. The experiment analyzes the image information entropy under different dislocation conditions. The results show that the algorithm can effectively suppress the information entropy after image stitching. In the objective evaluation, the gray mean and standard deviation are better than the traditional stitching algorithm, which verifies the superiority of the algorithm. 

KEYWORDS

Information entropy, Stitched images, Objective evaluation, Positional deviation, SSPA

CITE THIS PAPER

Changchun Li, Objective Quality Evaluation of Stitched Images Based on Information Entropy. Journal of Image Processing Theory and Applications (2022) Vol. 5: 35-40. DOI: http://dx.doi.org/10.23977/jipta.2022.050106.

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