Noise components are added into image due to various reasons like camera problem, communication channel error etc. To eliminate this noise problem various noise filtering methods are introduced. But the performance of those filters is not good and produces large latency. In this paper we propose FPGA implementation of image de-noising using Haar wavelet transform. Haar wavelet transform is applied on noisy image to generate all four bands and threshold is applied on it to remove noise. Then inverse transform is used to generate de-noised image. The proposed architecture improves performance parameters with respect to existing techniques in terms of both software and hardware
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