抽象的な

Adaptive Denoising of Impulse Noise with Enhanced Edge Preservation

P.Ruban, M.P.Pramod kumar

Image acquisition and transmission seems to be challenging when the images are corrupted by impulse noise. An efficient de-noising method for the removal of random valued impulse noise has been presented here including its VLSI architecture. The proposed method is a low complexity method which ensures low cost. The noisy pixels are detected by a Decision tree based impulse detector which is followed by an Edge preserving image filter which reconstructs their intensity values. The prominent feature is an adaptive technology which enhances the effect of de-noising. The proposed system beats the previous lower complexity methods in both quantitative evaluation and visual quality which is evident in the experimental results. Furthermore the performance of the proposed technique was found to be proportionate to the higher complexity methods. When it is about the design’s VLSI architecture, it yields a processing rate of about 200 MHz by using TSMC 0.18 μm technology. Also, a reduction in memory storage by more than 99 percent is obtained by this technology. The requirement of this design is limited to low complexity and need only two line buffers. Many real-time applications can adopt this design as its hardware cost is low.