Large image real-time browsing method based on multi-core structure

A large image, multi-core technology, which is applied in the field of real-time browsing of large images based on multi-core architecture, can solve the problems of image real-time browsing performance degradation, time-consuming, inability to utilize hardware processing capabilities, etc., to save reading time and bandwidth, and improve efficiency Effect
CN101650820AInactive Publication Date: 2010-02-17ZHEJIANG UNIV
0 Cites 35 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2010-02-17
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a large image real-time browsing method based on a multi-core structure, comprising the following steps: (1) reading image data of appointed positions of a large image into a cache pool by a memory mapping technique; (2) displaying corresponding data blocks inside the cache pool in an image mode according to the appointment of a browser, wherein a displayed image area is acurrent browsing area, and reading and updating image data inside the cache pool when the browser selects an image area adjacent to the current browsing area to browse; and processing a plurality of threads by setting parallel working pipelines and utilizing a CPU multi-core technique when the image data of the current browsing area are displayed and the image data of the cache pool are read in the step (1) and the step (2). The large image real-time browsing method greatly enhances the browsing efficiency without any preprocessing operation by using the parallel working pipelines and being based on a predicted data processing technique.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to a method for real-time browsing of large images based on a multi-core architecture. Background technique

[0002] In recent years, with the continuous improvement of data acquisition equipment, more and more high-precision large images have appeared in the fields of medicine, remote sensing, meteorology, and archaeology. While these large images bring more detailed information to the user, it also brings great challenges to the computer to display them interactively. For example, the data size of the panorama of the "Flying Apsaras" Buddha statue we shot in Cave 285 of Mogao Grottoes in Dunhuang with a Canon 5D camera reached 15G, which far exceeded the capacity limit of computer memory and video memory, resulting in inefficient out-of-core Data access has brought huge problems to the real-time browsing of pictures.

[0003] Previous research on large image browsing mo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More