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4 January 1986 A Multi-Dimensional Video Image Processing Architecture
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Abstract
The Burt pyramid algorithm is a potentially powerful tool for advanced television image processing, enhancement, coding, and restoration. In order to exploit this algorithm for the real-time processing of digitized NTSC television signals, where 10-15 MBytes; second data rates are typical and multidimensional processing is essential, a novel cascaded-filter pipe-line architecture was developed. The algorithms' two-dimensional, octave-bandpass filtering is accomplished using multiple arrangements of separ-able horizontal and vertical one-dimensional, 7-tap FIR (Finite impulse Response) filters. These two-dimensional filters are configured into a serial-pipelined data structure to produce simultaneous bandpass image representations. This resampling architecture achieves the performance of high-order filters through the repetitive use of less complex low-order filters. In addition, each successive lower spatial-frequency band is calculated from previously computed bands while the linear sampling density is reduced by two per dimension to eliminate redundant information which is wasteful of both memory storage and processing time. An algorithm imple-mented using this architecture produces a very efficient and economical process well suited for real-time operation. Because the architecture is modular, highly structured, and arithmetically well-behaved it is attractive for VLSI implementation.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James H. Arbeiter "A Multi-Dimensional Video Image Processing Architecture", Proc. SPIE 0564, Real-Time Signal Processing VIII, (4 January 1986); https://doi.org/10.1117/12.949707
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