Abstract
The storage and transmission of medical images has made compression a necessity. Recent image compression techniques have increased the viability by reducing the bandwidth requirement and cost-effective delivery of medical images for primary diagnosis. This paper presents an effective algorithm to compress and reconstruct medical images in DICOM format. The medical images are decomposed using Cohen-Daubechies-Feauveau (CDF) wavelet. The wavelet coefficients are encoded using Set Partitioning In Hierarchical Trees (SPIHT). The proposed algorithm also provides enhancement function to improve the perceptual quality of the images. Consistent quality images are produced by this method compared with JPEG and Fractal algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Biomedical Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
