Impulsive Noise Removal in a Digital Image Using Reconfigurable Processor
Santosh Kumar · 2015
In the field of digital image processing, two concepts are of great importance image enhancement and image noise filtering. Images are often corrupted by impulse noise in the process of signal acquisition and transmission. To avoid the damage to noise-free pixels, median filters are used for impulse detection and noise filtering. For the median filter, the concept of mean deviation parameter is added which estimate the noise in the images is proposed in this paper and is applied to gray scale image. Reconfigurable Processor based impulsive noise detection technique is implemented using 32-bit RISC processor core and XILINX ISE Design suite. The algorithm is written in system C Language and tested in DIGILENT FPGA board by interfacing with the PC.