Color Image Denoising Using Gaussian Multiscale Multivariate Image Analysis
| Autor: | Dong Tai Liang |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Color histogram
Demosaicing business.industry Binary image Pattern recognition General Medicine HSL and HSV Non-local means Image texture Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Image gradient Feature detection (computer vision) Mathematics |
| Zdroj: | Applied Mechanics and Materials. :248-252 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.37-38.248 |
| Popis: | Inspired by the human vision system, a new image representation and analysis model based on Gaussian multiscale multivariate image analysis (MIA) is proposed. The multiscale color texture representations for the original image are used to constitute the multivariate image, each channel of which represents a perceptual observation from different scales. Then the MIA decomposes this multivariate image into multiscale color texture perceptual features (the principal component score images). These score images could be interpreted as 1) the output of three color opponent channels: black versus white, red versus green and blue versus yellow, and 2) the edge information, and 3) higher-order Gaussian derivatives. Finally the color image denoising approach based on the models is presented. Experiments show that this denoising method against Gaussian filters significantly improves the denoising effect by preserving more edge information. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|