Image smoothing via a scale‐aware filter and L 0 norm
| Autor: | Bi Wei, Guanqi Gao, Weiguo Huang, Yongping Zhang, Zhu Zhongkui |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Pixel
Computer science media_common.quotation_subject Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Fidelity 020207 software engineering Image processing 02 engineering and technology Norm (mathematics) Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Bilateral filter Electrical and Electronic Engineering Algorithm Software Image restoration Smoothing media_common |
| Zdroj: | IET Image Processing. 12:1521-1528 |
| ISSN: | 1751-9667 |
| DOI: | 10.1049/iet-ipr.2017.0719 |
| Popis: | It is difficult to preserve diminishing weak structures and edges, and remove complex details simultaneously in the context of image smoothing. While most of existing methods only take either local or global features into consideration, the authors propose two methods taking advantage of both to achieve smoothing, both of which consist of two steps and share the same first step. In the first step, the authors use a scale-aware approach to generate a guidance image by blurring the small-scale components in the input image. Such approach, based on the rolling guidance framework with domain transform filter and bilateral filter, can prevent diminishing the corners of the main structures. Subsequently, the authors use the two proposed methods, with the guidance image as input, to remove blurry details. The first method introduces two data fidelity terms into L 0 gradient minimisation and removes high-contrast details, which is a structure-preserving method. The other method, an edge-preserving method, uses an adaptive L 0 gradient minimisation technique, facilitating the preservation of the weak structures and edges. The smoothing factors in such technique are decide by the corresponding gradient of each pixel of the guidance image. The authors apply both methods to various image processing fields. |
| Databáze: | OpenAIRE |
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