DocumentCode :
329917
Title :
POCS based adaptive image magnification
Author :
Ratakonda, Krishna ; Ahuja, Narendra
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fYear :
1998
fDate :
4-7 Oct 1998
Firstpage :
203
Abstract :
We tackle the problem of magnifying an image without incurring blurring, ringing or other artifacts common to classical schemes. The proposed iterative scheme starts with an initial magnified image generated by a process of selective interpolation. By placing suitable constraints on the final magnified image, which are convex in nature, we show that magnification can be posed as a problem of finding a solution which lies at the intersection of convex sets. By avoiding explicit high frequency enhancing assumptions in the iterative process, we avoid edge enhancement artifacts in the magnified image
Keywords :
adaptive signal processing; edge detection; image enhancement; image reconstruction; image resolution; interpolation; iterative methods; POCS based adaptive image magnification; convex sets intersection; edge location; image reconstruction algorithm; iterative scheme; resolution enhancement; selective interpolation; Constraint theory; Finite impulse response filter; Frequency; Image generation; Image resolution; Image segmentation; Interpolation; Iterative algorithms; Laplace equations; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
Type :
conf
DOI :
10.1109/ICIP.1998.727167
Filename :
727167
Link To Document :
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