The research of Infrared Image Denoising Algorithm Based on Curvelet transform

摘要

Since the infrared image has the problem of poor contrast, edge blur, low noise ratio, noisy and other shortcomings, this paper presents an improved threshold denoising algorithm based on curvelet transform, using a combination of hard and soft threshold methods to form a new threshold based functions. Compare to the conventional hard threshold, soft threshold, de-noising based on wavelet transform method, the proposed denoising method can obtain better PSNR and visual characteristics, retain more details.