Multiscale wavelet-based compression schemes for preserving diagnostic information in medical imaging
Rajesh Sharma R, G. Akey Sungheetha, S. Ponlatha, S. Sabarish, Ramana Murthy, GGS Pradeep · 2025
Preserving diagnostic information while improving the efficiency of data compression is crucial in the field of medical imaging. This is due to the imperative need to preserve diagnostic information. This inquiry presents newly developed multiscale wavelet-based compression approaches specifically designed to improve the quality of medical pictures. By employing these methods, significant diagnostic characteristics are effectively retained while unnecessary data is condensed. They achieve this by utilizing the inherent multi-resolution feature of wavelet transformations. The application of several approaches helps achieve a balance between compression ratios and diagnostic fidelity. This task can be accomplished by employing adaptive thresholding and sophisticated quantization techniques. Thorough testing on several medical picture modalities, such as X-rays, CT scans, and MRI, demonstrates improved performance in comparison to standard compression techniques. This is the scenario where the algorithms are evaluated in relation to the outcomes of the testing process. The created technologies not only maintain diagnostic accuracy but also enable efficient and effective storage and transmission of medical pictures. Ultimately, this results in enhancements in healthcare delivery and patient outcomes.