An Image Contrast Measure Based on Retinex Principles
| Autor: | Alessandro Rizzi, Michela Lecca, Raul Serapioni |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Color constancy
business.industry Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition 02 engineering and technology Computer Graphics and Computer-Aided Design Measure (mathematics) Visualization Colors of noise Robustness (computer science) Feature (computer vision) 0202 electrical engineering electronic engineering information engineering Contrast (vision) 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Software media_common |
| Zdroj: | IEEE Transactions on Image Processing. 30:3543-3554 |
| ISSN: | 1941-0042 1057-7149 |
| Popis: | The image contrast is a feature capturing the variation of the image signal across the space. Such a feature is very useful to describe the local image structure at different scales and thus it is relevant to many computer vision applications, like image/texture retrieval and object recognition. In this work, we present MiRCo, a novel measure of image contrast derived from the Retinex theory. MiRCo is robust against in-plane rotations and light changes at multiple scales. Thanks to these properties, MiRCo enables an accurate and robust description of the local image structure. Here we describe and discuss the mathematical insights of MiRCo also in comparison with other popular contrast measures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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