26 March 2001 Adaptive threshold selection technique for denoising in dithered quantizers
Author Affiliations +
Abstract
We described an adaptive denoising method to improve image quality in a wavelet-based image compression process that uses dithered quantization. In our method, the second-order moment of the quantization noise is made independent of the signal by random quantization. Then, the quantization noise is reduced by thresholding wavelet coefficients. We first obtained a fixed threshold using any known technique. Then, a neighborhood is searched for the optimal threshold to optimize some cost function.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel Peter Kozaitis, Samuel Peter Kozaitis, Hemen Goswami, Hemen Goswami, } "Adaptive threshold selection technique for denoising in dithered quantizers", Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421195; https://doi.org/10.1117/12.421195
PROCEEDINGS
7 PAGES


SHARE
Back to Top