Image denoising by thresholding in the wavelet domain and implementation in FPGA using VHDL
Anand Paul, K. Bharanitharan, Ramachandran Sakthivel · 2003
Wavelet transform has the advantage of visualizing the parameter both in Time and Frequency Domain this technique has been effective in noise removal with minimum side effects on important features such as image details and edges. This paper gives VLSI architecture implementation in FPGA for image processing. The image decomposed into L levels and the detail and approximation coefficients are found and the denoising using Hard and Soft thresholding is applied and the denoised coefficients are reconstructed to get the denoised image. Efficient hardware implementation based on FPGA technology is proposed.