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@article{171106,
        author = {AISWARYA M and JWALA JOSE and SRITHA S},
        title = {A REVIEW ON IMAGE COMPRESSION TECHNIQUES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {2737-2741},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171106},
        abstract = {The need for efficient image compression has become increasingly important due to the proliferation of image data in various applications such as digital photography, medical imaging, and web-based applications. This paper explores the most commonly used image compression techniques, comparing their performance in terms of compression ratio, quality, and computational complexity. The paper focuses on both lossless and lossy compression algorithms, including JPEG, JPEG2000, PNG, and newer approaches using deep learning. We also analyze the trade-offs between compression efficiency and computational overhead. Finally, we propose future research directions in image compression.},
        keywords = {Image Compression, Lossless Compression, Lossy Compression, JPEG, JPEG2000, Deep Learning, Compression Ratio, Computational Efficiency},
        month = {December},
        }