Title: Research on Method of Image Quality Evaluation Based on Structural Similarity
Abstract: Image quality evaluation method (IQEM) plays an important role in image processing and recognition. In this paper, the structural similarity algorithm of objective digital image quality evaluation method (SSIM) is studied in depth, and evaluate the performance of single and multi-scale SSIM algorithm were compared. Compared to the single-scale method SSIM, the multi-scale SSIM image quality prediction score is more accurate, and is more consistent with the subjective score. The method based on structural similarity for the distorted image is more in line with the characteristics of HVS. The SSIM algorithm combines with the features of HVS, and the edge-based improved algorithm (ESSIM) is analyzed and simulated. The experimental results show that the ESSIM algorithm is more in line with the objective quality evaluation model of HVS characteristics, which provides ideas and directions for the improvement of structural similarity algorithm in future.
Publication Year: 2020
Publication Date: 2020-12-16
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 3
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