Abstract: A method and apparatus using the discrete cosine transform (DCT) to resize an image. To reduce an image, the method and apparatus exploits the convolution-multiplication property of the DCT to implement the anti-aliasing filter in the DCT domain, then the filtered coefficients are operated on to produce DCT coefficients of the reduced-size image. To increase an image, the DCT coefficients of the original image are operated on to produce coefficients of the larger image, then the convolution-multiplication property of the DCT is used to implement an anti-imaging filter. These DCT operations can be applied to the image as a whole or can be applied to non-overlapping blocks of the image.

Abstract: A method and apparatus using the discrete cosine transform (DCT) to resize an image. To reduce an image, the method and apparatus exploits the convolution-multiplication property of the DCT to implement the anti-aliasing filter in the DCT domain, then the filtered coefficients are operated on to produce DCT coefficients of the reduced-size image. To increase an image, the DCT coefficients of the original image are operated on to produce coefficients of the larger image, then the convolution-multiplication property of the DCT is used to implement an anti-imaging filter. These DCT operations can be applied to the image as a whole or can be applied to non-overlapping blocks of the image.

Abstract: An apparatus and a concomitant method for encoding video frame sequences (input images) using overlapping block motion compensation in conjunction with zerotree wavelet coding. The method partitions each input image into a plurality of overlapping blocks and applies wavelet transform on the partitioned input image. Various optional quantization processes can be selectively applied to determine an optimal quantizer scale for each wavelet coefficient. Zerotree coding is then optionally applied to selectively prune the wavelet coefficients. Finally, the quantized coefficients are encoded into a bitstream.