A real-time digital image compression prediction method and system

Abstract

The invention discloses a real-time digital image compression prediction method, facilitating realization of a digital circuit and capable of performing time sequence optimization, based on prediction. Based on the prediction method, according to the image resolution, realization difficulty of the digital circuit and trade-off of compression efficiency, numerical values of a group of unit and prediction interval are selected. Higher is the image resolution, higher is the requirement for a time sequence of the digital circuit, at the moment, and the numerical values of the unit and prediction interval can be appropriately increased; according to the values of the selected unit and prediction interval and the position of the unit where a current pixel is located, corresponding reference pixels are selected for calculating the prediction value of the current pixel. By the adoption of the prediction method, the requirement for the time sequence of the digital circuit in a chip can be lowered, high practical value is achieved, and the method is expected to be applied to integrated circuits needing real-time video stream compression and decompression.

Description

technical field [0001] The invention belongs to the field of semiconductor display and image processing, in particular to a prediction-based real-time digital image compression prediction method. Background technique [0002] With the development of integrated circuit design and manufacturing technology and semiconductor display technology, the resolution of displays is getting higher and higher. Today, display screens supporting 4Kx2K resolution have generally appeared in the market, and display screens supporting 8Kx4K resolution have also come out. Displays supporting higher resolutions will also appear in the future. Under the condition that the refresh rate of the display is kept constant, the bandwidth required to be supported by the display driver chip, the timing control chip and the image processing unit is getting higher and higher. The following problems are: in the prior art, the working speed of the chip interface can no longer meet the requirements of the chip...

AI Technical Summary

Problems solved by technology

The resulting problems are: in the existing technology, the working speed of the chip interface can no longer meet the requirements of the chip bandwidth; the overall power consumption of the chip increases, the design is more complicated, and the cost of chip and system design increases

However, no matter the MAP or MMAP method, when the digital circuit is implemented, there is no way to optimize the timing by pipeline in the pixel clock domain or the pixel group clock domain, that is, the MAP prediction method must be within one pixel clock cycle. The calculation is completed within , while the MMAP prediction method must be calculated within one pixel group clock cycle

When the image resolution reaches a certain level, the prediction method based on MAP or MMAP will greatly increase the difficulty and complexity of chip design because the timing of digital circuit implementation cannot meet the requirements

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