Abstract
The paper presents an efficient adaptive Lempel-Ziv-Welch (LZW) data compression algorithm for medical image compression applications. The encoder is based on custom-sized library and custom-valued threshold where both the size of the library and the threshold parameters are adjusted by the user. The algorithm is compared with other existing compression schemes applicable to medical imaging. Because of the adaptive nature, the output of encoder can be controlled as per the bandwidth requirement of the data transmission and storage capacity. The simulation is carried out on several medical and endoscopic images and the results show that a compression ratio of 94% can be achieved with a reconstruction quality of 40 dB. The estimated energy consumption is 21.6mJ for a 256×256 color image with a frame rate of 2fps.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
