Method and apparatus for color depth transformation and image transmission thereafter

Abstract

The invention discloses a method for color depth transformation and image transmission thereafter. The steps of the method are as follows: if a reference frame of a current frame exists, dividing the current frame into a first color region and a second color region by means of motion detection; performing a color depth transformation for the two divided regions separately. By utilizing the correlation between the current frame and the reference frame, the invention avoids non-consecutive visual distortion on the timeline of a video data stream when the color distortion of the transformed image in the video data stream is less as compared with the original color of the image. The invention further discloses an apparatus for color depth transformation of the video data stream, the method and the apparatus for color depth transformation of another video data stream.

Description

technical field [0001] The invention relates to computer technology and data transmission technology in the field of communication, in particular to a method and device for color depth conversion of images, and a method and device for transmitting images after color depth conversion. Background technique [0002] Due to the diversification of terminals, the image display capabilities of various terminals such as mobile terminals and PC terminals are quite different. From supporting 16-color images, that is, images with 4-bit color depth, to 256-color images, that is, images with 8-bit color depth, to 60,000 5,000 color images, that is, images with 16-bit color depth, to 16 million color images, that is, 24-bit color depth. With the continuous development of network value-added services, the demand for terminals to obtain video data streams from the network or for one terminal to obtain video data streams from another terminal is gradually increasing. However, compared with ...

AI Technical Summary

Problems solved by technology

Through a large number of implementations, it is found that the existing color depth transformation method will lead to a larger peak signal to noise ratio (Peak Signal to Noise Ratio, PSNR). During image conversion, if the reduced number of color depth bits cannot be divisible by 3, the color depth bits occupied by the three color components of red (R), green (G) and blue (B) in one pixel will be different , the traditional way to deal with this situation is to fix the number of color depth bits of each color component in each pixel, which is likely to cause large color distortion

For example, when converting a 24-bit color depth image to a 4-bit color depth image, the converted color depth bits cannot be evenly distributed to the three color components of R, G, and B. Therefore, the R color component is fixed at 2-bit color depth , the G color component is 1-bit color depth, and the B color component is 1-bit color depth. If the converted image is rich in green or blue information, this approach will lead to serious color distortion

[0005] Due to the above disadvantages in the existing color depth conversion method, when transmitting the image obtained by the color depth conversion method, although the number of color depth bits of the image obtained by the terminal matches the display capability of the terminal, the obtained image does not match the color depth. Compared with the image before conversion, the color distortion is serious, resulting in poor image effect actually viewed by the user

In addition, the color depth transformation is performed independently between two adjacent frames of the video data stream. Since the color depth transformation of adjacent frames is discontinuous, it may lead to discontinuity on the time axis of the video data stream, resulting in visual distortion.

At the same time, due to the time redundancy information between adjacent frames in the video data stream, the efficiency of the data transmission process is low

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