Distortion correction image processing method and image processing device

Abstract

The invention discloses a distortion correction image processing method and device, and the method comprises the steps: obtaining the coordinates of a plurality of pixels from a mapping relation corresponding table which is a mapping relation corresponding table of the coordinates of the pixels in an output image and the coordinates of the pixels in an input image; wherein the obtained coordinatesare coordinates obtained through vertical scanning in a 16-behavior unit; Judging whether the coordinates of a plurality of reference pixel points used for performing interpolation calculation on thetarget pixel point are in the acquired coordinates or not; if yes, when the conversion unit where each reference pixel point is located is effective, reading the data of each reference pixel point from the cache, and performing interpolation calculation to obtain the data of each pixel point of the output image. The device comprises a vertical scanning module, a judgment module and the like, andis used for realizing the distortion correction image processing method. Hardware cost of the image processing device can be reduced, and image processing efficiency can be improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image processing method and a device for realizing the method. Background technique [0002] With the development of shooting technology, camera technology also develops accordingly. In order to calculate the three-dimensional information of objects, some cameras now have two lenses, which are called binocular cameras. The binocular camera can be used to calculate the binocular depth information. The binocular depth information is extracted from the binocular camera to perceive the surrounding environment from two perspectives, and obtain images under different perspectives. According to the matching between the pixels of the object in the two perspective images The three-dimensional information of the object is calculated through the projection relationship. [0003] When calculating the three-dimensional information of an object, a large amount of image processing is require...

AI Technical Summary

Problems solved by technology

For example, the images taken by some existing lenses, such as fisheye lenses, produce severe distortion, which does not conform to the image angle seen by the human eye. Therefore, it is necessary to correct the distorted image. The conventional correction method is to use progressive raster scanning. To process images, this method consumes a lot of hardware storage resources, such as very high bandwidth requirements for data transmission between multiple memories

At the same time, due to the difference in the degree of distortion of the images captured by different fisheye lenses, the sequence of reading numbers from the synchronous random dynamic memory (SDRAM) is random and uncertain, and it is difficult to meet the requirements for high-speed image correction in terms of bandwidth and performance.

[0005] Since the current processing method for distorted images is mainly to perform geometric correction on the entire image in the form of line raster scanning, it is necessary to use a line buffer to load the original image data for correction calculations. This method is universally applicable. Poor, and it also consumes large storage resources, which is not conducive to hardware implementation, requires the use of a large number of buffers, resulting in a huge hardware circuit area

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