Image De-Noising using Spatial Adaptive Wavelet Thresholding and Discrete Transform Techniques
Kulwinder Singh Rana, Kiranbir Kaur, Simrat Khokhar, Mandeep Kaur · 2012
Wavelet thresh holding with uniform threshold has shown some success in de-noising. For images, we propose that this can be improved by adjusting thresholds spatially, based on the rationale that detailed regions such as edges and textures tolerate some noise but not blurring, whereas smooth regions tolerate blurring but not noise and also proposes a wavelet-based method for compressing side scan sonar images. Wavelets are an adequate choice because their intrinsic properties suit side scan sonar images.