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Reversible Contrast Enhancement

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10039))

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Abstract

This paper proposes a novel idea of reversible contrast enhancement (RCE) for digital images. Different from the traditional methods, we aim to embed the reversible feature into image contrast enhancement, making sure that the processed image can be losslessly turned back to the original. The original image is enhanced by histogram shrink and contrast stretching. Meanwhile, side information is generated and then embedded into the contrast enhanced image. On the other end, we extract side information from the processed image and reconstruct the original content without any error. Experimental results show that good contrast and good quality can be achieved in the RCE processed image.

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Acknowledgement

This work was supported by the Natural Science Foundation of China (Grant 61572308 and Grant U1536108, Grant 61572452 and Grant 61402279), Shanghai Rising-Star Program under Grant 14QA1401900, Shanghai Natural Science Foundation under Grant 14ZR1415900, and 2015 Shanghai University Filmology Summit Research Grant

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Correspondence to Zhenxing Qian .

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Qian, Z., Zhang, X., Zhang, W., Wang, Y. (2016). Reversible Contrast Enhancement. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10039. Springer, Cham. https://doi.org/10.1007/978-3-319-48671-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-48671-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48670-3

  • Online ISBN: 978-3-319-48671-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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