Abstract
In this paper, we introduce a tone mapping algorithm for processing high-brightness video images. This method can maximally recover the information of high-brightness areas and preserve detailed information. Along with benchmark data, real-life and practical application data were taken to test the proposed method. The experimental objects were license plates. We reconstructed the image in the RGB channel, and gamma correction was carried out. After that, local linear adjustment was completed through a tone mapping window to restore the detailed information of the high-brightness region. The experimental results showed that our algorithm could clearly restore the details of high-brightness local areas. The processed image conformed to the visual effect observed by human eyes but with higher definition. Compared with other algorithms, the proposed algorithm has advantages in terms of both subjective and objective evaluation. It can fully satisfy the needs in various practical applications.
Highlights
To solve the abovementioned problems, we propose a method for video image processing based on tone mapping
Proposed a novel hue mapping algorithm based on the fast adjustment of global histograms, which can effectively use the whole dynamic range of the display to reproduce the global contrast of high dynamic range images
By combining a subjective evaluation and an objective analysis, we can conclude that the proposed algorithm could effectively recover the exposure area information from high-brightness video images with sound visual effects, and the objective indicators were much better than those produced by the compared algorithms
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. In 2003, Drago et al [7] proposed a classical global tone mapping algorithm—the adaptive logarithmic mapping algorithm—which can adaptively adjust the cardinality of logarithmic equations according to the different brightness values of pixels This method can reduce the dynamic range of the examined image, but it loses local details, and its effect on improving the overall contrast of the image is not apparent. Proposed a novel hue mapping algorithm based on the fast adjustment of global histograms, which can effectively use the whole dynamic range of the display to reproduce the global contrast of high dynamic range images This method cannot effectively preserve local contrast and details, which is a common weakness of global tone mapping operators.
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