Method for Reconstruction and Display of Megapixel High Dynamic Range Image

A high dynamic range, image reconstruction technology, applied in the field of computer vision, can solve problems such as difficult direct splicing, large memory resources, and large bandwidth occupation

Active Publication Date: 2016-08-10
TSINGHUA UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1 In order to obtain a higher dynamic range, the exposure time of different cameras is different, so each image has its own dynamic range, and it is difficult to directly stitch
[0005] 2 The amount of ultra-high pixel data is very large. If it is all read into the display, it will consume a lot of memory resources, and if network transmission is required, it will also occupy a large bandwidth.

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for Reconstruction and Display of Megapixel High Dynamic Range Image
  • Method for Reconstruction and Display of Megapixel High Dynamic Range Image
  • Method for Reconstruction and Display of Megapixel High Dynamic Range Image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0019] Such as figure 1 As shown, the specific steps of the method for reconstructing and displaying a gigapixel high dynamic range image according to the embodiment of the present invention are as follows:

[0020] S1. Acquiring a plurality of megapixel-level sub-images. specifically:

[0021] S11. Distributing multiple camera positioning holes on the hemispherical camera platform, and obtaining prior information on the relative positions of multiple camera positioning holes;

[0022] S12. A camera with a megapixel-level tele...

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

PUM

No PUM Login to view more

Abstract

The invention provides a method for reconstructing and displaying a billion-pixel high dynamic range image. The method comprises the step of acquiring a plurality of million-pixel level sub-images, the step of splicing the acquired sub-images into a billion-pixel spherical surface image and adjusting the dynamic range of the spherical surface image, and the step of displaying the spliced image to a user in an interactive mode according to the demands of the user. According to the method, a panoramic image with integral details and different dynamic ranges can be acquired, and the user can integrally take out and display the concerned partial image conveniently.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a method for reconstructing and displaying a billion-pixel high dynamic range image. Background technique [0002] With the continuous improvement of computer computing power and continuous improvement of shooting equipment, people hope to obtain panoramic images without losing detailed information. The resolution, dynamic range, and field of view of a single camera are often mutually restricted. Collecting through multiple cameras and stitching the obtained images can break through the constraints of a single camera and stitch together to obtain ultra-high-pixel images. [0003] However, in the prior art, super high pixel image stitching has the following difficulties: [0004] 1 In order to obtain a higher dynamic range, the exposure time of different cameras is different, so each image has its own dynamic range, and it is difficult to directly stitch. [0005] 2 Th...

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

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00G06T5/50G06T3/40
Inventor 戴琼海张洋
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products