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Compression is indispensable in various technologies to reduce data size for storage and transmission. It can be classified into lossless and lossy methods. This article surveys fundamental compression algorithms, including lossless, lossy, and near-lossy techniques, focusing on their application to images and medical endoscopic capsule images. Numerous studies have examined how these methods have evolved to meet current data quality, coding, and application requirements. The survey highlights the most effective approaches for future image and medical imaging compression.

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Review of Digital and Medical Image-Based Compression Techniques

  • 会议论文

  • 发表日期：

    2025年

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  • S. Harshitha,
  • U. B. Mahadevaswamy

摘要

Compression is indispensable in various technologies to reduce data size for storage and transmission. It can be classified into lossless and lossy methods. This article surveys fundamental compression algorithms, including lossless, lossy, and near-lossy techniques, focusing on their application to images and medical endoscopic capsule images. Numerous studies have examined how these methods have evolved to meet current data quality, coding, and application requirements. The survey highlights the most effective approaches for future image and medical imaging compression.