skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Design and implementation techniques for two-dimensional digital filters. [SECTION performs image filtering with nonrecursive spatial filter in LLLTRAN for CDC 7600]

Technical Report ·
OSTI ID:5271145

New design and implementation techniques for two-dimensional (2-D) digital filters are presented. These techniques are characterized by their applicability to a large number of practical problems of current interest in 2-D signal processing. After a brief review of 2-D digital signal processing formalisms, the problem of implementing 2-D nonrecursive filters is investigated. In particular, the sectioning approach to filter implementation is analyzed with emphasis on minimizing the total computation required. An optimal sectioning procedure is formulated, and examples are given which show that sectioning can be significantly superior to other common implementations for a large class of filtering problems. The remainder of the report addresses the problem of designing stable 2-D recursive digital filters. A very efficient design procedure for separable 2-D recursive filters is presented. This procedure is useful in designing quarter-plane recursive filters, and is applicable to a limited subset of design problems. Finally, two techniques are presented for designing stable recursive filters of the more general half-plane variety. These techniques incorporate a recently developed 2-D spectral factorization procedure and a nonlinear optimization to obtain filters to approximate an arbitrary magnitude response, with a zero phase response if desired. Example designs are provided for each technique discussed. 29 figures, 4 tables, 64 references.

Research Organization:
California Univ., Livermore (USA). Lawrence Livermore Lab.
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
5271145
Report Number(s):
UCRL-52370
Resource Relation:
Other Information: Thesis
Country of Publication:
United States
Language:
English