Image Enhancement Processing Based on Fast Chord Intersection
Xu Yan · Procedia Computer Science · 2022
According to relevant statistics, 80% of the information received by human comes from vision, then, high-quality images are crucial in human life. Therefore, it is of great significance to develop an effective image enhancement method. This paper mainly takes the fast chord-intercept iterative method as the model, and proposes the principle and implementation method of the center-boundary filter and the boundary-boundary filter, and uses MATLAB to process ordinary grayscale images, Gaussian noise images and salt-and-pepper noise images. Three traditional image enhancement methods are compared and analyzed, and the final conclusion is drawn: center-boundary filtering, boundary-boundary filtering, center-boundary filtering and boundary-boundary filtering are proposed based on the fast chord truncation method for images with Gaussian noise and salt and pepper noise It has better noise reduction effect, the image is effectively enhanced, and the noise reduction ability of center-boundary filtering and boundary-boundary filtering is stronger than that of center-boundary filtering and boundary-boundary filtering.