A Modified Structural Similarity Index with Low Computational Complexity
| Autor: | Woei-Tan Loh, David B. L. Bong |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Index (economics)
Computational complexity theory business.industry Image quality Structural similarity Computer science media_common.quotation_subject 020206 networking & telecommunications Pattern recognition 02 engineering and technology Luminance Global information 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Simplicity Artificial intelligence business media_common |
| Zdroj: | ISPACS |
| DOI: | 10.1109/ispacs48206.2019.8986321 |
| Popis: | Structural Similarity Index (SSIM) has been a benchmark method for image quality assessment (IQA). This is due to its simplicity and good performance. In this paper, we propose a modified SSIM method that reduces the computational complexity with comparable performance. Instead of computing similarities on local windows, the proposed method computes global information similarities. The proposed method omits the luminance part similarities in SSIM due to its less crucial role in assessing image quality. From the presented results, the proposed method has a much lower computational time and comparable performance compared to SSIM. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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