Abstract
Photographic reproduction and enhancement is challenging because it requires the preservation of all the visual information during the compression of the dynamic range of the input image. This paper presents a cascaded-architecture-type reproduction method that can simultaneously enhance local details and retain the naturalness of original global contrast. In the pre-processing stage, in addition to using a multiscale detail injection scheme to enhance the local details, the Stevens effect is considered for adapting different luminance levels and normally compressing the global feature. We propose a modified histogram equalization method in the reproduction stage, where individual histogram bin widths are first adjusted according to the property of overall image content. In addition, the human visual system (HVS) is considered so that a luminance-aware threshold can be used to control the maximum permissible width of each bin. Then, the global tone is modified by performing histogram equalization on the output modified histogram. Experimental results indicate that the proposed method can outperform the five state-of-the-art methods in terms of visual comparisons and several objective image quality evaluations.
Highlights
The human visual system (HVS) is a delicate and complex system
Unlike other methods that perform global compression, we proposed the use of a bin width adjustment scheme to reallocate the overall tone into a fixed dynamic range
We refer to the characteristic of the HVS and use the just noticeable difference (JND)-based threshold to automatically correct the bin widths that will take up too much dynamic range
Summary
The human visual system (HVS) is a delicate and complex system. To perceive realworld scenes, human eyes function as visual sensors to receive lights reflected from the surface of objects. The ciliary muscle changes the shape of the lens to make the light focus on the retina, where photoreceptors convert the light into electrical signals. These signals are transmitted to the brain and interpreted as visual images. Before the camera was invented, people could only record the scenes they saw through words and paintings. At the end of the nineteenth century, the Eastman Kodak Company produced film negatives and gradually popularized cameras, and in 1975, they designed the first digital camera that captured a real-world scene by using electronic photodetectors and stored it as a digitized file
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