Artículo
Segmentation-based lossless compression of burn wound images
Autor/es | Serrano Gotarredona, María del Carmen
Acha Piñero, Begoña Rangayyan, Rangaraj M. Roa Romero, Laura María |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2001 |
Fecha de depósito | 2017-03-30 |
Publicado en |
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Resumen | Color 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. ... Color 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. |
Cita | Serrano 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. |
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