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Combined interpolation—restoration of Landsat images through FIR filter design techniques
1993
International Journal of Remote Sensing
In digital image processing for remote sensing there is often a need to interpolate an image. Examples occur in scale magnification, image registration, geometric correction, etc. On the other hand, this image can be subject to several sources of degradation and it would be interesting to compensate also for this degradation in the interpolation process. Therefore, this article addresses the problem of combining interpolation and restoration in a single operation, thereby reducing the
doi:10.1080/01431169308904292
fatcat:x5j3ru6jljce3owhvw2l3lms7a