Serrano Gotarredona, María del CarmenAcha Piñero, BegoñaRangayyan, Rangaraj M.Roa Romero, Laura María2017-03-302017-03-302001Serrano Gotarredona, M.d.C., Acha Piñero, B., Rangayyan, R.M. y Roa Romero, L.M. (2001). Segmentation-based lossless compression of burn wound images. Journal of Electronic Imaging, 10 (3), 720-726.1017-9909http://hdl.handle.net/11441/56675Color images may be encoded by using a gray-scale image compression technique on each of the three color planes. Such an approach, however, does not take advantage of the correlation existing between the color planes. In this paper, a new segmentation-based lossless compression method is proposed for color images. The method exploits the correlation existing among the three color planes by treating each pixel as a vector of three components, performing region growing and difference operations using the vectors, and applying a color coordinate transformation. The method performed better than the Joint Photographic Experts Group (JPEG) standard by an average of 3.40 bits/pixel with a database including four natural color images of scenery, four images of burn wounds, and four fractal images, and it outperformed the Joint Bi-Level Image experts Group (JBIG) standard by an average of 3.01 bits/pixel. When applied to a database of 20 burn wound images, the 24 bits/pixel images were efficiently compressed to 4.79 bits/pixel, then requiring 4.16 bits/pixel less than JPEG and 5.41 bits/pixel less than JBIG.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/SegmentationCompressionWound imagesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess