Abstract: Image processing plays several roles in which noise filtering and image enhancement are very important. Noise affects the pixels of the Image and affects the quality. Several types of noise are, meanwhile impulse noise is important one. Impulse noise is divided into two types: fixed and random valued impulse noise. Denoising the impulse noise using Decision Tree method is quite effective. The resultant image can be given out from an FPGA kit Spartan 3e. Contrasting has been done to improve the visualizing effect.
Keywords: Decision Tree, Impulse Noise, Noise Removal, Noise Filter, VLSI Architecture.
Title: Denoising of Impulse Noise Using Decision Tree Method and Contrasting Images
Author: Saratha Preethi, Baby Sathya
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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