Abstract
Storing digital medical images is standardized by the digital imaging and communications in Medicine (DICOM) report. Lossy pulse-echo ultrasonic image compression by a joint photographic expert group (JPEG) baseline system is permitted by it. Although significant compression is achievable by lossy algorithms, they do not permit the exact recovery of the original image. The objective of this study is to reduce the data volume and to achieve a low bit rate in the digital representation of pulse-echo ultrasonic images without a perceived loss in image quality. In image compression with a JPEG baseline system, it is possible to control the compression ratio and image quality by controlling quantization values. In this paper, we apply the Hamiltonian algorithm to optimize JPEG quantization tables. We construct the evaluation function involving the compression ratio and image quality. Results reveal that it is possible to optimize these quantization values by the Hamiltonian algorithm for lossy pulse-echo ultrasonic image compression.
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