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Firstly, through researching on gray-scale characteristics curve of the human visual on the image resolution, it configures a “visual resolution histogram” (VRH), which has non-continuous gray scales determined by the gray-scale characteristics curve. Secondly, it integrates both equalization method and order-mapping themes, to transform infrared thermal image into the format of continuous and even distribution on gray scales in visual resolution histogram. As well as, it proposes a “Central Segment Histogram Enhancement” (CSHE) to keep mean brightness effects on the visual system. Finally, experiments show that the proposed algorithm provides rich layers and good resolutions of displaying image on human view, as well as reduces the adverse phenomenon of scale moderation in conventional histogram equalization theme. |
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Visualization
Image enhancement
Image processing algorithms and systems
Image segmentation
Infrared imaging
