Real-time image amplification system and method of camera

Abstract

The invention provides a real-time image amplification system of a camera. The real-time image amplification system comprises an image acquisition module, an image processing module and a signal synchronization module, wherein the image acquisition module performs oversampling on original image data through a camera sensor to obtain an ultrahigh-resolution original image; the image processing module performs horizontal direction processing and vertical direction processing on the original image according to a specified amplification area to obtain a to-be-displayed image, and outputs and displays the to-be-displayed image; the signal synchronization module acquires timestamps of each frame of the original image, the horizontal direction processing image and the vertical direction processing image, and enables the horizontal direction processing operation and the vertical direction processing operation of the same frame of the original image to be only performed in in the frame-frame interval time of the original image through a synchronization mechanism. The invention further provides a real-time image amplification method of the camera, and image lossless amplification operation is achieved on the premise that low delay of image transmission is guaranteed.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a real-time image amplification system and method of a camera. Background technique [0002] During the use of the video conferencing system, when the distance between the camera and the participants is long, the image zoom function needs to be used, but many cameras do not support the optical zoom function, only the digital zoom function, and the digitally zoomed-in image has obvious mosaic and jagged Phenomenon, poor user experience. [0003] The existing processing schemes for fixed-focus camera image enlargement are mainly divided into two categories, one is the interpolation algorithm, which calculates and fills the defective image pixels through the surrounding pixels; the other is the application of image super-resolution technology, that is, through time resolution in exchange for higher spatial resolution. [0004] In the scheme using interpolation algorithm, if...

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Problems solved by technology

[0004] In the scheme using interpolation algorithm, if neighborhood interpolation is used, obvious jagged edges and mosaic phenomenon will be produced in the new image; if bicubic and cubic spline interpolation is used, the image shade changes naturally and smoothly, but it will enlarge the image Outlines and textures are blurred, reducing image quality

[0005] Image super-resolution technology mainly uses multiple low-resolution images to re-interpolate and reconstruct images to obtain high-resolution images. However, this solution requires relatively high processor performance. The mainstream embedded processing currently used The device is not competent and has a large delay, so it is not suitable for applications with high real-time requirements such as video conferencing systems

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