Super-resolution of grey-level images by inverse diffusion processes

N. Sochen*, Y. Y. Zeevi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Algorithms for resolution enhancement are needed in various applications of image processing and communication such as compression, and HDTV, in which the enhancement of low resolution images acquired by CCD-based electronic cameras is required. We develop a geometric algorithm, based on diffusion processes, which are used both for smoothing of the enlarged image, when 'time' is flowing forward, and for enhancement. The latter is accomplished by allowing the 'time' to flow backwards, i.e. by 'solving' an inverse diffusion problem which is ill posed. In order to stabilize the flow as well as to enhance important features (e.g. edges) on the expense of less important image domains, we use modified and regularized Beltrami type diffusion equation.

Original languageEnglish
Pages91-95
Number of pages5
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2) - Tel-Aviv, Israel
Duration: 18 May 199820 May 1998

Conference

ConferenceProceedings of the 1998 9th Mediterranean Electrotechnical Conference, MELECON. Part 2 (of 2)
CityTel-Aviv, Israel
Period18/05/9820/05/98

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