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The Imaging Science Journal Volume 62, 2014 - Issue 5
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Research Paper

Joint image compression–encryption using discrete fractional transforms

N. JindalDepartment of ECEThapar University, Patiala147004, Punjab, IndiaCorrespondence[email protected]
&
K. SinghDepartment of ECEThapar University, Patiala147004, Punjab, India
Pages 265-272 | Received 29 Nov 2011, Accepted 03 Sep 2013, Published online: 28 Feb 2014

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Read on this site (1)

M. A. Rahman, S. C. F. Lin, C. Y. Wong, G. Jiang, S. Liu & N. Kwok. (2016) Efficient colour image compression using fusion approach. The Imaging Science Journal 64:3, pages 166-177.
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Articles from other publishers (4)

Bo Xu, Zhenglin Xie, Zhi Zhang, Tailin Han, Hong Liu, Mingchi Ju & Xuan Liu. (2022) Joint Compression and Encryption of Distributed Sources Based on Wavelet Transform and Semi-Tensor Product Compressed Sensing. IEEE Sensors Journal 22:16, pages 16451-16463.
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Amit Kumar, Ankush Kansal & Kulbir Singh. (2020) Anti-forensic approach for JPEG compressed images with enhanced image quality and forensic undetectability. Multimedia Tools and Applications 79:11-12, pages 8061-8084.
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M. Zarebnia, R. Kianfar & R. Parvaz. (2018) Multi-color image compression-encryption algorithm based on chaotic system and fuzzy transform. Multimedia Tools and Applications 78:8, pages 10491-10511.
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Neeru Jindal & Kulbir Singh. (2018) Applicability of fractional transforms in image processing - review, technical challenges and future trends. Multimedia Tools and Applications 78:8, pages 10673-10700.
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