Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Color Correction Method for Array Camera Based on Optimal Histogram Matching

A technology of histogram matching and array camera, which is applied in the fields of computer vision and signal processing, can solve problems such as bad and unsatisfactory effects, and achieve the effect of strong robustness

Active Publication Date: 2022-05-17
NANJING UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods are not ideal when applied to multi-camera video stitching systems. In many cases, the target color image only covers the overlapping area of ​​the image, rather than the entire image, which introduces a large error for many parametric methods.
On the other hand, due to the limitations of the stitching calibration algorithm, only a rough correspondence of pixels in overlapping regions can be obtained, which may lead to bad results for those algorithms that require precise pixel correspondence

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
  • A Color Correction Method for Array Camera Based on Optimal Histogram Matching
  • A Color Correction Method for Array Camera Based on Optimal Histogram Matching
  • A Color Correction Method for Array Camera Based on Optimal Histogram Matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0023] A method for color correction of an array camera based on optimized histogram matching of the present invention comprises the following steps:

[0024] S1. Take the current frame of the array camera to be corrected, record the total number of frames k, and the number of member cameras that make up the array camera N, and define the camera weight according to the user's preferred camera color Note the restrictions Input the number of scenes, the number of cameras N and the weight of the camera, and number all the images to ensure that there are enough overlapping areas between adjacent numbered images, and use geometric transformation to align and extract the overlapping areas.

[0025] S2, such as figure 1 As shown, for the pictures corresponding to N cameras, each camera is used as the target color (label) camera in turn, and the...

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 discloses an array camera color correction method based on optimal histogram matching. It includes the following steps: S1, get the current frame shot by the array camera to be corrected; S2, use each camera as the target color camera in turn, use histogram matching and curve fitting to obtain the color mapping curves of all cameras; S3, take the current scene’s The mapping curves of all cameras are weighted and averaged according to the camera weights to obtain the global mapping curve in this scene; S4, use the global mapping curve for color correction on each frame of the array camera video before splicing. The method of the invention can correct the color difference between cameras during multi-camera video stitching.

Description

technical field [0001] The invention relates to the fields of signal processing, computer vision, etc., and in particular to an array camera color correction method based on optimized histogram matching. Background technique [0002] With the improvement of video transmission capabilities, multi-camera panoramic stitching technology has developed rapidly in recent years, and panoramic stitching cameras are gradually entering the public eye. In 2016, Facebook launched its first-generation panoramic stitching camera surround360. Since then, different companies have launched their own panoramic stitching cameras, and the megapixel real-time video stitching system has gradually been applied in live broadcasting, security and other fields. In order to ensure the synchronization between multi-cameras, generally multi-camera systems use high-quality industrial cameras, such as surround360 uses 17 Pointgray cameras, which undoubtedly leads to an expensive multi-camera system. How t...

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): H04N5/217H04N9/04H04N9/64
CPCH04N9/64H04N23/81H04N23/84
Inventor 马展丁春秋
Owner NANJING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products