The efficient-parallel stripe noise removal algorithm with low resource utilization based on FPGA

Abstract

Stripe noise is usually introduced into infrared images, which seriously deteriorates the image quality and affects the subsequent analysis of the image. The main formation causes of stripe noise are analyzed and some typical stripe noise removal methods and their limitations are compared. On this basis, this paper presents a suitable method for FPGA implementation stripe noise removal in infrared image, i.e. based on the most stable window strip noise removal method. The proposed method mainly uses the average compensation method principle and the relevant features between adjacent rows of pixels to implement. And it applies the average difference between line represent the noise difference and takes advantage of FPGA parallel to optimize. Experimental results indicate that the proposed method not only can remove stripe noise completely and assure won't produce artifacts, but also can realize efficient parallel operation in the low resource utilization way. Compared with the traditional hardware method, the de-noising effect is better, and the resource utilization is the lowest. Compared with the typical software method, it realizes the algorithm of parallel computing and the speed of the proposed algorithm has a big improvement.