Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A novel image compression method using wavelet coefficients and Huffman coding Subject The topic of the resource Bits per pixel; Compression ratio; Integer wavelet transform; Medical imaging; Visual quality Description An account of the resource Compressing medical images to reduce their size while maintaining their clinical and diagnostic information is crucial. Because medical images can be large and demand a lot of storage and transmission capacity, effective compression methods aid medical institutions in better storing and transmitting medical images, reducing costs, speeding up data transfer, and simplifying managing image databases. However, it is essential to note that image compression in medical imaging can also introduce drawbacks, such as loss of information and poor output image quality. Therefore, a suitable compression algorithm and parameter must be chosen to balance file size and visual fidelity. This paper suggests an effective image compression method employing the Discrete Wavelet Transform (DWT), followed by a reduction operation and Huffman coding to produce a mere lossless encoding to transmit the images over a channel. The extracted DWT coefficients are mapped to the nearest integral value. All four sub-bands of DWT are joined, and then a window of 3 3 is selected for reduction operation by choosing the origin as the pivot element. The Huffman coding algorithm is used to compress the processed image. The pivot origin element is used in the reversible reduction while uncompressing the image. When sending compressed data across an unreliable route, the window size and pivot element selection keep the compressed data secure. Standard measures such as bits per pixel (BPP) and compression ratio (CR) are used to assess the suggested approach. The efficiency of the suggested course of action is supported by the research's findings, which use a peak signal-to-noise ratio (PSNR) of 54.66 dB. 2023 The Authors Creator An entity primarily responsible for making the resource Thomas S.; Krishna A.; Govind S.; Sahu A.K. Source A related resource from which the described resource is derived Journal of Engineering Research (Kuwait) Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.jer.2023.08.015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jer.2023.08.015</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200512552&amp;doi=10.1016%2Fj.jer.2023.08.015&amp;partnerID=40&amp;md5=66fa56a22b84e485e741fc67c65654ae" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200512552&amp;doi=10.1016%2fj.jer.2023.08.015&amp;partnerID=40&amp;md5=66fa56a22b84e485e741fc67c65654ae</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23071877 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India, Department of Computer Science, Rajagiri College of Social Sciences (Autonomous), Kerala, Kalamassery, India; Krishna A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; Govind S., Department of Computer Science, Rajagiri College of Social Sciences (Autonomous), Kerala, Kalamassery, India; Sahu A.K., Amrita School of Computing, Amrita Vishwa Vidyapeetham, Andhra Pradesh, Amaravati, India