A real-time image correction method based on mobile phone platform

Abstract

The invention discloses a real-time image correction method based on a mobile phone platform, which includes: Step 1, taking a standard test image, and using the standard test image to calculate a correction matrix; Step 2, saving the correction matrix in an online database for real-time downloading; Step 3. Enter the height and arm length of the mobile phone user to obtain the shooting height of the mobile phone. Download all the corresponding correction matrix data in the online database based on the shooting height and store it in the local memory of the mobile phone; Step 4. Perform the real-time shooting of the images on the mobile phone. Coordinate conversion: Based on the angle information collected in real time from the direction sensor, find the corresponding correction matrix in the local memory of the mobile phone, and convert the coordinates of each pixel in the image captured in real time by the mobile phone into The coordinates of each pixel in the corrected image; step 5, continue the grayscale interpolation calculation to obtain the grayscale value of each pixel in the corrected image after coordinate conversion.

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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