Restoration of simulated NOAA-AVHRR images by wavelet decomposition
Farouk H. Bonilla-Mendoza, Ramon E. Vasquez · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
This paper presents a technique based on subband decomposition using wavelets, for the restoration of distorted, degraded, and corrupted advanced very high resolution radiometer (AVHRR) images. The principal focus is in restoring the effects of degradation and corruption generated by the resampling process in changes of format and additive noise. A Landsat Multispectral Scanner image is used to simulate introduces distortions similar to those obtained from the AVHRR image acquisition systems. The images are degraded by sampling followed by the addition of white noise. The restoration technique uses subband decomposition. This paper studies the selection of a suitable wavelet for the decomposition. An appropriate wavelet and level of decomposition is chosen to decompose the image into certain number of channels. Finally, a multichannel restoration filter based on Donoho and Jhonstone thresholding is applied in the subband domain, to smooth the selected detail coefficients. Examples of restoration of simulated NOAA-AVHRR images using the above technique are presented in the paper.