Method for processing supersized texture images

Abstract

The invention discloses a method for processing supersized texture images. The method comprises the steps of: processing of physical characteristics of the supersized texture images; segmentation processing of supersized source image files; and call and rendering processing of the supersized source image files. According to the invention, the following advantages are achieved: operational capability of existing computers is fully utilized, call to a whole piece of image is replaced by staged segmentation to minimize CPU occupancy, memory occupancy and IO interface occupancy, random storage is displaced by tree-structured storage to minimize system consumption of file retrieval processes, rendering speed and call speed of texture information are improved to make it possible for general PC machines and low-grade workstations to perform call and rendering on supersized texture image data of celestial body surfaces, so that information processing efficiency is improved. According to the invention, segmentation, call and rendering technologies of the supersized texture image data are integrated, data call speed is increased greatly, and integrity and authenticity of the supersized texture image information are maximized.

Description

technical field [0001] The invention relates to the technical field of aerospace measurement and control visualization, in particular to a processing method for super-large texture images. Background technique [0002] With the development of the aerospace industry, higher requirements are put forward for the visualization of aerospace measurement and control. On the premise of ensuring the response speed of the visualization system, it is required to see more details. However, in many cases, real-time rendered celestial models need to use huge amounts of image data as textures. The data volume of such images increases geometrically with the improvement of precision. Some high-precision celestial data are all in TB. The existing graphics card There is simply no way to load it all into video memory, or even the memory of a typical PC and workstation. The current technology is called by the method of not processing the whole film, which is obviously unable to meet the call-i...

AI Technical Summary

Problems solved by technology

[0003] At present, the processing method for super-large texture images is mainly to divide and call pyramids according to the region, and read them in pieces. The amount of data processing in the early stage is large, and the computing power of ordinary machines can no longer meet the processing of GB-level data, let alone TB. Level data; and in terms of file storage and calling, all current technologies use random arrangement of file storage. In the absence of indexes, the calling process will cause a lot of CPU and memory waiting, and due to the lack of corresponding algorithm specifications and specific implementation methods, some technologies are still only at the theoretical stage