Noise estimation and filtering using block-based singular value decomposition

Konstantinos Konstantinides, Balas K. Natarajan, Gregory S. Yovanof

Abstract: Preprocessing of image and video sequences with spatial filtering techniques usually improves the image quality and compressibility. We present a block-based, nonlinear filtering algorithm based on singular value decomposition and compression-based filtering. Experiments show that the proposed filter preserves edge details and can significantly improve the compression performance.