#7373. Stitched image quality assessment based on local measurement errors and global statistical properties

October 2026publication date
Proposal available till 31-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Media Technology;
Electrical and Electronic Engineering;
Signal Processing;
Computer Vision and Pattern Recognition;
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Abstract:
Image stitching is developed to generate wide-field images or panoramic images for virtual reality applications. However, the quality assessment of stitched images with respect to various stitching algorithms has been less studied. Effective stitched image quality assessment (SIQA) is advantageous to evaluate the performance of various stitching methods and optimize the design of stitching methods. In this paper, we propose a novel SIQA method by exploiting local measurement errors and global statistical properties for feature extraction.
Keywords:
Geometric error; Image stitching; Quality aggregation; Stitched image quality assessment; Structural distortion

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