Advanced VLSI Architecture for Fixed and Random Valued Impulse Noise Removal in Images using MDBDM

Digital images are corrupted frequently by impulse noise during the procedures of acquisitions and their transmissions. An advanced effective VLSI architecture is designed in this paper to remove both the random valued and fixed valued impulse noise from the images. Modified Decision tree is used for detecting the noisy pixels and to preserve the noise free pixels, mean filter is used for fixed value noise and edge preserving filtering technique is applied to restore the noisy pixels of random valued noise. It is implemented using the Xilinx ISE design suite and tested in Spartan-3E FPGA kit by interfacing it with the PC using the RS232 cable. The implemented design shows better results in visual quality in the noise removed image also it has less complexity and improved performance.