Evaluation and simplification of objective estimation for the quality of HDR images
| Autor: | Hirofumi Takano, Kenji Sugiyama, Naoyuki Awano |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Pixel
business.industry Fast Fourier transform 020206 networking & telecommunications Image processing Pattern recognition 02 engineering and technology Filter (signal processing) Weighting 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Spatial frequency Artificial intelligence Sensitivity (control systems) business High dynamic range Mathematics |
| Zdroj: | ICCE |
| DOI: | 10.1109/icce.2016.7430572 |
| Popis: | High dynamic range (HDR) images that include large differences in brightness levels are studied to address the lack of knowledge on the quality estimation method for real HDR images. For this, we proposed the local peak signal-to-noise ratio (LPSNR), using the maximum value of neighboring pixels. Next, we proposed an objective estimation method that considers spatial frequency characteristics based on the actual brightness. In this method, we used 2D filter on an FFT for spatial frequency weighting. However, in the case of whole picture processing, the rational evaluation is difficult. To solve this problem, we divide a picture to small area, the weighting processing applied each area. Furthermore, we propose more simplified method without FFT/IFFT. In order to confirm performance of these objective estimation methods, we compared the results of the objective estimation with a subjective assessment. The results of the correlation of partial adaptive method processing does not give significant difference. The correlation of simplified method shows its usefulness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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