Upgradation of Ultralow-Gradation Images by Using Spatial Features
| Autor: | Tetsuya Kato, Fumihiko Saitoh |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science Applied Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Physics and Astronomy Area of interest Image (mathematics) Tone (musical instrument) Signal Processing Computer vision Gradation Artificial intelligence Electrical and Electronic Engineering business Value (mathematics) |
| Zdroj: | Electronics and Communications in Japan. 98:53-62 |
| ISSN: | 1942-9533 |
| DOI: | 10.1002/ecj.11748 |
| Popis: | SUMMARY This paper proposes a method that obtains high-tone images from ultra-low-tone image by using spatial features. Areas are smoothed when the adjacent tone value of the area of interest is continuous, but areas are saved as edges when the adjacent tone value of the area of interest is discontinuous. Thus the area of interest can be classified into six patterns by area. Low-gradation images are changed into high-gradation images by processing with each pattern. Comparative experiments indicated that the proposed method was quantitatively and visually better than existing methods. The proposed method can change ultra-low-tone images into naturally high-gradation images. |
| Databáze: | OpenAIRE |
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