Multichannel Image Decoding,

摘要

Multichannel image decoding is a very general scheme to improve the signal-to-noise ratio in decoding images coded with linear shift invariant codes. It is shown that it can be advantageous to code an image with more than one code. A 'composite' inverse filter can then be used in the frequency plane to recover the Fourier transform of the original image. To recover a particular point in the frequency plane, the inverse filter for any one of the coded versions of the image, that is any channel, can be used. The channel with the highest signal-to-noise ratio is used to recover the desired point. A particular application of this scheme is examined. A two-channel code is compared with a one-channel code in the frequency domain for the case of misfocus blurring.