Pathological microscopic image compression using lossless and progressive coding schemes

Takayuki Nakachi; Tatsuya Fujii; Tetsuro Fujii

doi:10.1117/12.435508

7 August 2001 Pathological microscopic image compression using lossless and progressive coding schemes

Takayuki Nakachi, Tatsuya Fujii, Tetsuro Fujii

Proceedings Volume 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation; (2001) https://doi.org/10.1117/12.435508
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

This paper proposes pathological microscopic image compression schemes that suit lossless and progressive transmission. Because pathological microscopic images require very high resolution, they create heavy storage requirements and long transmission times. Image compression is desired to reduce these problems. First, we propose a lossless Karhunen-Loeve Transform (KLT) based on ladder networks. The proposed lossless KLT reduces inter-color redundancies which increases coding performance. Next we propose a progressive transmission algorithm by combining the lossless KLT and set partitioning in hierarchical trees (SPIHT) with the S+P transform. SPIHT is adopted to encode individual color-transformed components. By considering coding efficiency, the transmission bit rates of each encoded component are determined. The resulting algorithm gives high coding performance and has progressive transmission capability. When all transmitted data are decoded, decoding yields the original image. We demonstrate the performance of the proposed algorithm when applied to super high definition pathological microscopic images. All the images used in our tests have 2048x2048 pixels and 24 bits per pixel. It is shown that the coding performance of the proposed algorithm is superior to that of DCT-based JPEG with the RGB/YUV transform.

Citation Download Citation

Takayuki Nakachi, Tatsuya Fujii, and Tetsuro Fujii "Pathological microscopic image compression using lossless and progressive coding schemes", Proc. SPIE 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation, (7 August 2001); https://doi.org/10.1117/12.435508

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KEYWORDS

Image compression

Image transmission

RGB color model

Medical imaging

Image quality

Computer programming

Oxygen

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