Abstract
In many signal processing applications, the primary goal is restoration of signals distorted by signal sensor systems. Most frequently the distortions result in signal contamination by sensor’s noise and signal blurring due to limited resolving power of sensors. Thus, signal denoising and deblurring are required. In this chapter, we describe principles of signal restoration using transform domain linear filtering and a family of easy to use sliding window transforms domain signal, image and video restoration algorithms capable of local adaptivity.
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