Histogram based perceptual quality assessment method for color images
| Autor: | Yildiray Yalman |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Color histogram
Color image Computer science Color normalization Image quality business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Hardware and Architecture Computer vision Adaptive histogram equalization Artificial intelligence business Law Software Image histogram Histogram equalization |
| Zdroj: | Computer Standards & Interfaces. 36:899-908 |
| ISSN: | 0920-5489 |
| DOI: | 10.1016/j.csi.2014.04.002 |
| Popis: | A histogram based perceptual quality assessment (HPQA) method for color images is presented in this paper. Basically, the HPQA combines two quality assessment approaches (color image quality assessment and histogram based image quality assessment) and it uses the fourier transform. Its range is between 0 and 1. 1 represents the best quality result, 0 represents the worst quality result for the HPQA. The HPQA results are more suitable than its counterparts in terms of the HVS and they can be obtained faster than the other methods' results. In addition, it can easily differentiate effects of low distortions on color images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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