Outputs (5)

Wavelet-Based Superresolution in Astronomy (2003)
Conference Proceeding
Willett, R., Jermyn, I., Nowak, R., & Zerubia, J. (2003). Wavelet-Based Superresolution in Astronomy. In F. Ochsenbein, M. Allen, & D. Egret (Eds.), Astronomical data analysis software and systems XIII (107-116)

High-resolution astronomical images can be reconstructed from several blurred and noisy low-resolution images using a computational process known as superresolution reconstruction. Superresolution reconstruction is closely related to image deconvolut... Read More about Wavelet-Based Superresolution in Astronomy.

Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery (2003)
Conference Proceeding
Rochery, M., Jermyn, I., & Zerubia, J. (2003). Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery.

We present a novel method for the incorporation of shape information into active contour models, and apply it to the extraction of line networks (e.g. road, water) from satellite imagery. The method is based on a new class of contour energies. These... Read More about Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery.

Texture Analysis: An Adaptive Probabilistic Approach (2003)
Conference Proceeding
Brady, K., Jermyn, I., & Zerubia, J. (2003). Texture Analysis: An Adaptive Probabilistic Approach. In 2003 International Conference on Image Processing, ICIP 2003 ; proceedings (1045-1048). https://doi.org/10.1109/icip.2003.1246864

Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform analyses on the boundaries of textures. Herein, we tackle these problem... Read More about Texture Analysis: An Adaptive Probabilistic Approach.

Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images (2003)
Conference Proceeding
Brady, K., Jermyn, I., & Zerubia, J. (2003). Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images. In R. Harvey, & A. Bangham (Eds.), Proceedings of the British Machine Conference 2003 (59.1-59.10). https://doi.org/10.5244/c.17.59

Remote sensing imagery plays an important role in many fields. It has become an invaluable tool for diverse applications ranging from cartography to ecosystem management. In many of the images processed in these types of applications, semantic entiti... Read More about Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images.

Gaussian Mixture Models of Texture and Colour for Image Database Retrieval (2003)
Conference Proceeding
Permuter, H., Francos, J., & Jermyn, I. (2003). Gaussian Mixture Models of Texture and Colour for Image Database Retrieval. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003 (ICASSP '03) (569-572). https://doi.org/10.1109/icassp.2003.1199538

We introduce Gaussian mixture models of 'structure' and colour features in order to classify coloured textures in images, with a view to the retrieval of textured colour images from databases. Classifications are performed separately using structure... Read More about Gaussian Mixture Models of Texture and Colour for Image Database Retrieval.