Calibration methods for array images

Abstract

The invention discloses an array image calibration method. A central image is used as reverence, multi-scale characteristics are adopted for characteristic point matching operation, then RANSAC is introduced for improving matching precision, and therefore overall calibration can be realized. Still the central image is used as a reference image, a mathematic limit principle is adopted for blocking calibration, and therefore parallax error of array images caused by different position relations can be eliminated. The multi-scale characteristics are also adopted for the blocking calibration, and structure similarity between two image blocks is calculated after calibration; if similarity value is smaller than a set threshold value, a gray scale-based calibration method is adopted; if the similarity value is still smaller than the threshold value, the size of the image blocks is changed till the similarity value meets requirement. Seamless splicing is completed according to results of two times of blocking calibration, and array cameras are put under a visual angle of a central camera in a unified manner. Via use of the method disclosed in the invention, no camera calibration is needed, good calibration effects can be exerted for parts where characteristic points are extracted, and good calibration effects can be exerted for margins or parts where no characteristic point can be extracted.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for calibrating an array image. Background technique [0002] With the increasing popularity of mobile phone camera photography and people's higher and higher requirements for mobile phone camera, some mobile phone manufacturers are currently trying to replace the current single-lens and single-focus cameras with microarray camera modules. However, due to the different positions of this array camera, there must be displacement between the array images obtained. This position difference will lead to parallax between images, that is, some cameras in the scene can be photographed, and some cameras may be blocked due to position differences. Less than, but it is necessary to achieve image calibration when implementing image super-resolution reconstruction, or high-speed camera, object replacement and other functions. Therefore, how to realize the precise calibratio...

AI Technical Summary

Problems solved by technology

[0003] Existing technologies generally use features, gray values, mutual information, etc., or methods improved on the original basis to calibrate images. However, the parallax of array images in these calibration methods cannot be completely eliminated, especially at the edge, that is, using One calibration matrix cannot achieve accurate calibration of array images

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