Abstract
This paper presents a novel image compression method for compressing medical images combining Haar-Wavelet Transform (HWT) and Residual Vector Quantization (RVQ) technique for enhancing the image quality and compression ratio. This method is used to represent an image in a compact form for reduced storage and efficient transmission. Nowadays, technology needs massive data transmission with low transmission cost. Image compression satisfies these requirements with reduced size of an image data by eliminating redundant information. Especially, medical field needs to store and access enormous image data for diagnosis. In this scenario, compression plays a vital part to store and transmit the data efficiently. The proposed method achieves high compression ratio without compromising the quality of reconstructed image.
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.
