3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
This paper aims to design robust correlation-based watermarking methods for images. We rst present a model of watermark embedding and extracting processes and carry out their ana...
Abstract. As mammography moves towards completely digital and produces prohibitive amounts of data, compression plays an increasingly important role. Although current lossless comp...
Jun Zheng, Olac Fuentes, Ming-Ying Leung, Elais Ja...
Image retrieval and image compression have been pursued separately in the past. Only little research has been conducted on a synthesis of the two by allowing image retrieval to be ...
This paper describes a new medical image analysis technique for polygon mesh surfaces of human faces for a medical diagnosis application. The goal is to explore the natural patter...