Applying the hamiltonian algorithm to optimize joint photographic expert group (JPEG) quantization tables for medical ultrasonic echo images

Storing digital medical images is standardized by the digital imaging and c ommunications 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 a lgorithms, they do not permit the exact recovery of the original image. The objective of this study is to reduce the data volume and to machine a low hit race in the digital representation of pulse-echo ultrasonic images with out a. perceived loss in image quality. In image compression with a JPEG ba seline system, it is possible to control the compression ratio and image qu ality by controlling quantization values. In this paper, we apply the Hamil tonian algorithm to optimize JPEG quantization tables. We construct the eva luation function involving the compression ratio and image quality. Results reveal that it is possible to optimize these quantization values by the Ha miltonian algorithm for lossy pulse-echo ultrasonic image compression.