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
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