Lossless Compression of JPEG Coded Photo Collection System

  • Unique Paper ID: 145780
  • PageNo: 371-385
  • Abstract:
  • The explosion of digital photos has posed a significant challenge to photo storage and transmission for both personal devices and cloud platforms. In this paper, we propose a novel lossless compression method to further reduce the size of a set of JPEG coded correlated images without any loss of infor-mation. The proposed method jointly removes inter/intra image redundancy in the feature, spatial, and frequency domains. For each collection, we first organize the images into a pseudo video by minimizing the global prediction cost in the feature domain. We then present a hybrid disparity compensation method to better exploit both the global and local correlations among the images in the spatial domain. Furthermore, the redundancy between each compensated signal and the corresponding target image is adaptively reduced in the frequency domain. Exper-imental results demonstrate the effectiveness of the proposed lossless compression method. Compared with the JPEG coded image collections, our method achieves average bit savings of more than 31%.
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Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{145780,
        author = {M.SUCHITRA and DR. G.V RAMESH BABU},
        title = {Lossless Compression of JPEG Coded  Photo Collection System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {371-385},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145780},
        abstract = {The explosion of digital photos has posed a significant challenge to photo storage and transmission for both personal devices and cloud platforms. In this paper, we propose a novel lossless compression method to further reduce the size of a set of JPEG coded correlated images without any loss of infor-mation. The proposed method jointly removes inter/intra image redundancy in the feature, spatial, and frequency domains. For each collection, we first organize the images into a pseudo video by minimizing the global prediction cost in the feature domain. We then present a hybrid disparity compensation method to better exploit both the global and local correlations among the images in the spatial domain. Furthermore, the redundancy between each compensated signal and the corresponding target image is adaptively reduced in the frequency domain. Exper-imental results demonstrate the effectiveness of the proposed lossless compression method. Compared with the JPEG coded image collections, our method achieves average bit savings of more than 31%.},
        keywords = {Image compression, lossless, JPEG, recompres-sion, image set, image collection, image coding},
        month = {},
        }

Cite This Article

M.SUCHITRA, , & BABU, D. G. R. (). Lossless Compression of JPEG Coded Photo Collection System. International Journal of Innovative Research in Technology (IJIRT), 4(11), 371–385.

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