Outputs (59)

Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory (2005)
Conference Proceeding
Cossu, R., Jermyn, I., & Zerubia, J. (2005). Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory. In PSIP'2005 : fourth international conference on physics in signal and image processing, Toulouse, France, 31 January-2 February 2005 ; proceedings

In recent work, it was noted that although the subband histograms for standard wavelet coefcients take on a generalized Gaussian form, this is no longer true for wavelet packet bases adapted to a given texture. Instead, three types of subband statist... Read More about Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory.

Gap Closure in (Road) Networks Using Higher-Order Active Contours (2004)
Conference Proceeding
Rochery, M., Jermyn, I., & Zerubia, J. (2004). Gap Closure in (Road) Networks Using Higher-Order Active Contours. In 2004 International Conference on Image Processing (ICIP '04) : proceedings : 24-27 October, 2004, Singapore (1879-1882). https://doi.org/10.1109/icip.2004.1421444

We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need to he closed. Using higher-order active contours, which allow the incorporation of sophisti... Read More about Gap Closure in (Road) Networks Using Higher-Order Active Contours.

Texture Analysis Using Adaptive Biorthogonal Wavelet Packets (2004)
Conference Proceeding
Abhayaratne, G., Jermyn, I., & Zentbia, J. (2004). Texture Analysis Using Adaptive Biorthogonal Wavelet Packets. In 2004 International Conference on Image Processing : proceedings : (ICIP) : 24-27 October 2004, Singapore (1197-1200). https://doi.org/10.1109/icip.2004.1419519

We discuss the use of adaptive biorthogonal wavelet packet bases in a probabilistic approach to texture analysis, thus combining the advantages of biorthogonal wavelets (FIR, linear phase) with those of a coherent texture model. The computation of th... Read More about Texture Analysis Using Adaptive Biorthogonal Wavelet Packets.

Texture Discrimination Using Multimodal Wavelet Packet Subbands (2004)
Conference Proceeding
Cossu, R., Jermyn, I., & Zerubia, J. (2004). Texture Discrimination Using Multimodal Wavelet Packet Subbands. In 2004 International Conference on Image Processing (ICIP '04) : proceedings : 24-27 October, 2004, Singapore (1493-1496). https://doi.org/10.1109/icip.2004.1421347

The subband histograms of wavelet packet bases adapted to individual texture classes often fail to display the leptokurtotic behaviour shown by the standard wavelet coefficients of 1natural' images. While many subband histograms remain leptokurtotic... Read More about Texture Discrimination Using Multimodal Wavelet Packet Subbands.

Texture Analysis Using Probabilistic Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients (2004)
Conference Proceeding
Cossu, R., Jermyn, I., & Zerubia, J. (2004). Texture Analysis Using Probabilistic Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients. In 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : May 17-21, 2004, Fairmont Queen Elizabeth Hotel, Montreal, Quebec, Canada (597-600). https://doi.org/10.1109/icassp.2004.1326615

Although subband histograms of the wavelet coefficients of natural images possess a characteristic leptokurtotic form, this is no longer true for wavelet packet bases adapted to a given texture. Instead, three types of subband statistics are observed... Read More about Texture Analysis Using Probabilistic Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients.

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.