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.
