Interpolation of CFA Color Images with Hybrid Image Denoising
| Autor: | Sudhakar Putheti, S. Sasikala |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Demosaicing
business.industry Computer science Noise reduction Wiener filter ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition symbols.namesake Colors of noise Computer Science::Computer Vision and Pattern Recognition Median filter symbols Video denoising Color filter array Computer vision Artificial intelligence business Interpolation |
| Zdroj: | 2014 International Conference on Computational Intelligence and Communication Networks. |
| DOI: | 10.1109/cicn.2014.53 |
| Popis: | Interpolation of the CFA images is used to produce full color images by using Demosaicking Process. Denoising is a technique which is used to remove the noise from a noisy image. The noise will be introduced during acquisition, Transmission and reception a storage phases. Some sensors are using Color Filter Array (CFA) to capture images and reproduce those images into full color images with Color Demosaicking. In this paper denoising before demosaicking strategy is used. Fusion based Hybrid denoising technique is effectively removing the noise. In this paper the proposed method, Denoising is done with Wiener Filter and Median Filter. Then the resultant data vectors are fused with PCA Fusion. Fused data is used for demosaicking using Directional Linear Minimum Mean Square Estimation. The proposed method outperforms the existing techniques, which yields better visual quality at boundary locations too. The performance of the proposed method is evaluated on benchmark images and offered significant PSNR values than the existing methods. |
| Databáze: | OpenAIRE |
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