Image Restoration Spectral Techniques

Since the single-channel framework of image restoration possesses serious conceptual and numerical problems, in this paper we present a general concept of image signal recovering. We also propose a space-variant restoration method using sliding spectral transforms. To provide image processing in real time, fast recursive algorithm for computing the sliding sinusoidal transform is utilized. Computer simulation results using a real image are provided and discussed

Image Restoration Spectral Techniques

Since the single-channel framework of image restoration possesses serious conceptual and numerical problems, in this paper we present a general concept of image signal recovering. We also propose a space-variant restoration method using sliding spectral transforms. To provide image processing in real time, fast recursive algorithm for computing the sliding sinusoidal transform is utilized. Computer simulation results using a real image are provided and discussed

Image Restoration Spectral Techniques

Since the single-channel framework of image restoration possesses serious conceptual and numerical problems, in this paper we present a general concept of image signal recovering. We also propose a space-variant restoration method using sliding spectral transforms. To provide image processing in real time, fast recursive algorithm for computing the sliding sinusoidal transform is utilized. Computer simulation results using a real image are provided and discussed

Image Restoration Spectral Techniques

Since the single-channel framework of image restoration possesses serious conceptual and numerical problems, in this paper we present a general concept of image signal recovering. We also propose a space-variant restoration method using sliding spectral transforms. To provide image processing in real time, fast recursive algorithm for computing the sliding sinusoidal transform is utilized. Computer simulation results using a real image are provided and discussed