Adaptive Filter for Color Impulsive Removal Based on the HSI Color Space

Abstract

A novel adaptive filter that uses the HSI color space for removal impulsive noise in color images is presented in this paper. The proposed method is an adaptive filter according to the information of pixels, only to these pixels detected impulse noise with noise identity matrix. All processing is based on the HSI color space. The extensive experimental results have shown that the proposed solution can provide the best noise suppression results and better preserve thin lines, edges and image details and yield better image quality compared to other filters. In addition, the proposed method is in line with requirements of the human visual sensitivity.

Comparative Analysis of Image Enhancement Technique for Hyperspectral Palmprint Images

“…The log transformation maps a narrow range of low input grey level values into a wider range of output values [6]. The inverse log transformation performs the opposite transformation; they are especially useful for bringing out detail in an image.…”