Title :
Downscaled inverses for M-channel lapped transforms
Author :
de Queiroz, R.L. ; Eschbach, Reiner
Author_Institution :
Xerox Corp., Webster, NY, USA
Abstract :
Compressed images may be decompressed for devices using different resolutions. Full decompression and rescaling in the space domain is a very expensive method. We studied downscaled inverses where the image is decompressed partially and a reduced inverse transform is used to recover the image. We studied the design of fast inverses, for a given forward transform. General solutions are presented for M-channel FIR filter banks of which block and lapped transforms are a subset
Keywords :
band-pass filters; data compression; discrete cosine transforms; filtering theory; image coding; image resolution; image sampling; inverse problems; transform coding; DCT; M-channel FIR filter banks; M-channel lapped transforms; algorithms; block transforms; decompression; downscaled inverses; fast inverses; forward transform; image compression; image recovery; image resolution; reduced inverse transform; resampling; rescaling; space domain; Discrete transforms; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Image coding; Image reconstruction; Image resolution; MIMO; Pixel; Signal processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599576
