期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：59
期号：3
出版社：Journal of Theoretical and Applied
摘要：A statistical complexion-based filtering techniques, named as the Adaptive Statistical Complexion based Filtering techniques (ASCF), is presented for removal of impulse noise in degraded color images. In distinction with the traditional noise detection techniques where only 1-D numerical information is used for noise detection and estimation, an innovative noise detection scheme is proposed based on statistical personality and features (i.e., the 2-D information) of the degraded pixel or the pixel region, leading to effective and efficient noise detection and estimation outcomes. A progressive restoration mechanism is devised using multipass nonlinear operations which adapt to the intensity and the types of the noise. widespread experiments conducted using a extensive range of test color images have shown that the ASCF is advanced to a number of existing well-known standard techniques, in terms of average image restoration performance criteria, including objective measurements, the visual image quality, and the computational complexity.
