A simplified SVR method for blind image denoising

Many practical applications need to eliminate noise from noisy images. This paper first introduce a simplified support vector regression (SSVR) method for single image denoising under mixture noise environments. The proposed SSVR method has a lower computational complexity than related SVR approaches to image denoising. Furthermore, we propose a novel multiple SVR approach for multi-image denoising by extending the SSVR method. Experiment results show that the proposed SVR-based approach has good performance in fast removing mixture noise.