Directional basis for noise reduction and sharpness enhancement

Mainstay of this paper is to reduce noise to perform video enhancement using filtered directional bases and frequency-adaptive shrinkage. The input image is decomposed into flat region and edge region. After removing noise in the flat region, noise in the edge region is removed. We present a new directional transform using wavelet basis and Gaussian low pass filters. Hence after the removal of noise, performing the sharpness enhancement of the image provides the best technique to improve the video image quality. The proposed algorithm can reduce noise without losing sharp details and is suitable for commercial low-cost video systems, such as digital cameras, CCTV, and surveillance video systems.