Abstract: A method is provided for simulating two-dimensional (2D) shadow images of an object (particularly an asymmetrical object), which comprises: a) obtaining a representation of the surface of said object; b) inputting a perspective viewing direction defining a virtual path line; c) calculating intersections between the virtual path line and the surface of the object; d) calculating the distance between couples of consecutive intersections; e) calculating simulated beam intensity attenuation between such couples of consecutive intersections from an input parameter related to the attenuation coefficient of the object and the distance as calculated in d); and f) displaying the simulated beam intensity attenuation as pixel brightness in a grey or color scale in the form of a shadow image. A corresponding device, system and computer program are also disclosed.

Abstract: A method is provided for simulating two-dimensional (2D) shadow images of an object (particularly an asymmetrical object), which comprises: a) obtaining a representation of the surface of said object; b) inputting a perspective viewing direction defining a virtual path line; c) calculating intersections between the virtual path line and the surface of the object; d) calculating the distance between couples of consecutive intersections; e) calculating simulated beam intensity attenuation between such couples of consecutive intersections from an input parameter related to the attenuation coefficient of the object and the distance as calculated in d); and f) displaying the simulated beam intensity attenuation as pixel brightness in a grey or colour scale in the form of a shadow image. A corresponding device, system and computer program are also disclosed.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.