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Conference Paper
Image Upsizing with Adaptive Wiener Filtering Method Using Self-Prediction
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- Authors
- Ilhong Shin, Hyun-Woo Lee
- Issue Date
- 2015-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2015, pp.563-565
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, a straightforward and effective method for image upsizing is presented; upsizing is considered to be essential operation in image processing. The Wiener filtering method is a well-known optimal framework for signal prediction, which provides information of original and degraded signals. In image upsizing, the Wiener filtering framework is not valid because of the missing information about the upsized target image. The proposed method employs a self where a down-sampled image of the original image is used for the Wiener filter prediction and the obtained filter coefficient is actually used in the upsizing of the original image. The experimental validation shows improvement in both visual and objective quality.
- KSP Keywords
- Adaptive Wiener filtering, Filter coefficients, Filtering method, Image processing, Objective quality, experimental validation, missing information, signal prediction, target image