| 摘要 |
A computationally fast, effective method for compressing digital images uses an optimized subsampling process. A set of spatially overlapping spline functions is used as a basis onto which the image data are projected by use of a least-mean-squares criterion. The specified processes can be implemented for compressing and interpolating digital data arrays of N dimensions. Linear, planar and hyperplanar spline functions allow convenient, fast and efficient closed-form optimal compression, which process is easily incorporated into existing digital processing systems. A key advantage of the disclosed method is the fast coding/reconstruction speed, because it involves only FFT or convolution types of processors. |
