A Hybrid Lossy-Lossless Compression Framework for Optimized PSNR and Transmission Efficiency in Medical Imaging

Abstract

The rapid expansion of digital healthcare has created substantial growth in medical image data especially from CT and MRI systems thus requiring powerful solutions to manage storage and transmission while maintaining accurate diagnosis. The paper presents a new hybrid lossy-lossless compression method which maintains excellent image quality and efficient compression ratios suitable for medical facilities. The proposed method divides its process into two stages where wavelet-based compression with adaptive lossy mode removes unnecessary information while protecting vital image characteristics before CABAC completes lossless encoding of remaining data. Standard DICOM dataset evaluations confirm that the described framework implements better compression ratios and delivers higher peak signal to noise ratios with expedited transmission times than JPEG2000 and JPEG-LS standards. The experimental outcomes demonstrate that the proposed system is appropriate for contemporary medical imaging systems operating in bandwidth-restricted scenarios or real-time diagnostic requirements.