Abstract
High dynamic range image possesses characteristics of wide tone, rich color and detail information, providing better reproduction information. Expound first on principle and features of three high dynamic range image compression algorithms, and the image quality is evaluated by HDR-VDP method. The results indicate that tonal homogenization histogram method can enlarge image tone and contrast, but it causes distortion of color and detail information; Local color adaptive algorithm can maintain better tonal features and detail information, which is compliant for printing output; Algorithm based on iCAM compression can ensure better visual features of human, but the loss of image tones is serious. The comparison of the above three kinds of image compression algorithms provide a better technical approach and method reference for high fidelity reproduction of high dynamic range images.
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Acknowledgements
This work is funded by application research project of Zhejiang Province public technology (2016C31080), key technology innovation special project of Zhejiang Province (2015-422), postdoctoral fund of Anhui Province (2016B125) and interdisciplinary research project of Zhejiang University of Science and Technology (2015JC06Y).
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Wang, H., Li, J., Wang, P., Wang, J., Wang, H. (2018). High Dynamic Range Image Compression Algorithm for Reproduction. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ren, Y. (eds) Applied Sciences in Graphic Communication and Packaging. Lecture Notes in Electrical Engineering, vol 477. Springer, Singapore. https://doi.org/10.1007/978-981-10-7629-9_23
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DOI: https://doi.org/10.1007/978-981-10-7629-9_23
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