DESIGN OF IMAGE DENOISER USING COMBINED ADAPTIVE PARTICLE FILTER AND CURVELET TRANSFORM
International Research Journal of Modernization in Engineering Technology and Science · 2024
This paper presents a combined image denoiser.This work is based on Particle filter and Wavelet (Curvelet) transform combination, particle filter generates weights through SIR algorithm to cancel the interference of noise present in the image, while curvelet transform is used to shrink the remaining segments of noise, so this method can both remove image blurr and maintain good texture as well.This is a new approach in image enhancement and Interference cancellation.This paper concludes that it is quite efficient algorithm among other adaptive filtering techniques.Simulation result also depicts proposed algorithm performs extremely well when noise density is increased, as obtained image is completely visible.This approach comprises of generation of particles by performing weight normalization, resembling and update state.Therefore, for large number of particles execution time is more when compared to other adaptive filtering approach.