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 hybrid scheme of image compression employing wavelets and 2D-PCA Subject The topic of the resource 2D-PCA; Feature matrix; Image compression; Projection vector; Wavelet structural similarity index Description An account of the resource In this paper, we have presented a method of compressing 2D grey-scale images employing wavelets and two-dimensional principal component analysis (2D-PCA). Principal component analysis (PCA) is an already established technique for image compression which primarily aims at exploiting inter pixel redundancies present in the image, while wavelet is a tool widely used in multi-resolution image processing. In the proposed method the image is subjected to a multi-resolution decomposition using wavelet. Subsequently, 2D-PCA is applied on the set of detail images at each level of resolution. The compressed form of the image is constituted by representative pairs of principal components and projection vectors from each level of resolution along with the approximate image at the coarsest resolution. The proposed method requires relatively few number of principal components (of varied dimension) to produce improved compression ratio with acceptable peak signal to noise ratio (PSNR). The method has been implemented and tested on a set of real 2D grey-scale images and the results have been assessed on both qualitative and quantitative basis by measuring parameters like compression ratio (CR), PSNR, structural similarity index measurement (SSIM) and the overall performance is found to be satisfactory. Copyright 2017 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Mishra M.K.; Ghosh R.; Mukhopadhyay S. Source A related resource from which the described resource is derived International Journal of Computational Vision and Robotics, Vol-7, No. 5, pp. 522-537. Publisher An entity responsible for making the resource available Inderscience Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJCVR.2017.086275" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJCVR.2017.086275</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029212783&amp;doi=10.1504%2FIJCVR.2017.086275&amp;partnerID=40&amp;md5=198d4ebaedc93d0f7ec4e49daa82caa3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029212783&amp;doi=10.1504%2fIJCVR.2017.086275&amp;partnerID=40&amp;md5=198d4ebaedc93d0f7ec4e49daa82caa3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17529131 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 Mishra M.K., Department of Computer Science, Christ University, Bengaluru, 560029, India; Ghosh R., Nomura Research Institute Financial Technologies, Kolkata, 700106, India; Mukhopadhyay S., Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, 826004, India