Real-time image correction method based on cell phone platform

Abstract

The invention discloses a real-time image correction method based on a cell phone platform. The method comprises the following steps of: 1, capturing a standard test image and calculating a correction matrix by using the standard test image; 2, storing the correction matrix in an online database for real-time downloading; 3, inputting the height and the arm length of a cell phone user to obtain a cell phone photographing height, downloading all the corresponding correction matrix data from the online database according to the photographing height, and storing all the corresponding correction matrix data in the local memory of the cell phone; 4, subjecting the image captured by the cell phone to coordinate transformation: searching a correction matrix corresponding to the angle information acquired by a direction sensor in real time in the local memory of the cell phone, and transforming the coordinate of each pixel in the image captured by the cell phone in real time into the coordinate of each pixel in a corrected image according to the correction matrix and a given transformation relation; and 5, performing grayscale interpolation calculation to obtain the grayscale values of respective pixels in the corrected image with transformed coordinates.

Description

technical field [0001] The invention belongs to the field of computer image processing, and relates to a real-time image correction method based on a mobile phone platform. Background technique [0002] With the development and popularization of smart phones and mobile application technology, while bringing great convenience to people's life and work, a considerable number of people, especially the younger generation, are increasingly dependent on smart phones. Yet its use in many inappropriate settings has had some worrying side effects. For example, the tragic situation in which pedestrians were distracted by looking at their mobile phones while walking, resulting in car accidents or falling injuries. At present, such incidents continue to appear in various news reports at home and abroad. [0003] In view of the above-mentioned status quo, a software that can run on smart phones and can realize the safety protection function for pedestrians is particularly urgent. The c...

AI Technical Summary

Problems solved by technology

[0007] There are two problems in this method that make it impossible to solve the problem of image keystone correction based on the mobile phone platform:

However, the existing control point-based algorithm only implements the first aspect of distortion correction, which is likely to cause some features in the image to be lost due to this distortion, which in turn leads to the failure of the feature recognition algorithm in the application.

[0010] 2. The computing power of smart terminals is limited. At present, the computing power of most ordinary smart phones is still difficult to meet the needs of real-time and fast correction of high-resolution images

Therefore, if you want to avoid the underlying driver and directly correct the acquired image at the application layer, the traditional correction method based on the shooting model is difficult to apply

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