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A complexity-efficient and one-pass image compression algorithm for wireless capsule endoscopy.

Gang Liu, Guozheng Yan, Shaopeng Zhao

    Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
    |September 28, 2015
    PubMed
    Summary

    This study introduces a new, efficient image compression method for wireless capsule endoscopy (WCE). The near-lossless technique achieves high compression rates and image quality, crucial for WCE systems.

    Keywords:
    Wireless capsule endoscopy (WCE)causal interpolationgradient predictorimage compressionone-pass

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    Area of Science:

    • Medical Imaging
    • Image Compression Algorithms

    Background:

    • Efficient image compression is vital for wireless capsule endoscopy (WCE) application-specific integrated circuits (ASICs).
    • Compression impacts image transmission and power consumption in WCE devices.

    Purpose of the Study:

    • Propose a complexity-efficient, one-pass image compression method for Bayer format images in WCE.
    • Modify the standard lossless JPEG-LS algorithm for improved performance.

    Main Methods:

    • Utilize causal interpolation to obtain context templates for pixel encoding.
    • Implement a gradient predictor for enhanced prediction accuracy over median predictors.
    • Employ quantized gradient context to determine encoding modes.

    Main Results:

    • Achieved a high compression rate of 2.315.
    • Maintained high image quality with a PSNR of 46.31 dB.
    • Demonstrated superior performance compared to existing compression methods.

    Conclusions:

    • The proposed method performs effectively within wireless capsule endoscopy systems.
    • The compression technique has potential applications in other image processing fields.