DocumentCode :
1244975
Title :
Separation of image parts using 2-D parallel form recursive filters
Author :
Sivaramakrishna, Radhika
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume :
5
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
175
Lastpage :
178
Abstract :
This correspondence deals with a new technique to separate objects or image parts in a composite image. A parallel form extension of a 2-D Steiglitz-McBride method is applied to the discrete cosine transform (DCT) of the image containing the objects that are to be separated. The obtained parallel form is the sum of several filters or systems, where the impulse response of each filter corresponds to the DCT of one object in the original image. Preliminary results on an image with two objects show that the algorithm works well, even in the case where one object occludes another as well as in the case of moderate noise
Keywords :
discrete cosine transforms; image processing; noise; recursive filters; transient response; 2D Steiglitz-McBride method; 2D parallel form recursive filters; composite image; discrete cosine transform; image parts separation; impulse response; moderate noise; parallel form extension; Biomedical signal processing; Discrete cosine transforms; Gabor filters; Image coding; Image processing; Image reconstruction; Neural networks; Optimized production technology; Signal processing algorithms; Spatial resolution;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.481686
Filename :
481686
Link To Document :
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