A kind of image processor and processing method

Abstract

The invention provides an image processor and an image processing method. By means of the characteristic that the image process does not need to construct a specific instruction set, the image processcan be conveniently integrated to structures of other types of existing processors to serve as a co-processor or a dedicated acceleration module; by means of the characteristics that the layers are simple, the physical significance is clear, the parallel degree is high, and direct implementation time delay of hardware is short, the processing real-time performance requirement of image data streams is met; and by means of the high expansibility of the image processor, all the layers can achieve quick increase of the operation capacity and the data throughput rate by increasing the number of various stages of processors. The image processor and the image processing method are particularly suitable for compression of high-frame-rate image data streams and slowly-varying image data streams.

Description

technical field [0001] The invention relates to the field of processors, in particular to an image processor and a processing method. Background technique [0002] Image sensors have been widely used in various fields such as scientific research, industrial production, medical and health care, national defense and military affairs. With the continuous improvement of image resolution and image frame rate, human beings can observe more subtle object features or more short-term physical phenomena, which greatly enriches human observation methods and improves human cognition. [0003] However, with the rapid improvement of image performance parameters, it also brings a huge challenge that the amount of image data and data transmission bandwidth increase exponentially. Massive image data and ultra-high data transmission bandwidth have brought a series of technical difficulties for subsequent image transmission, storage and processing. [0004] At present, it is relatively diffi...

AI Technical Summary

Problems solved by technology

[0004] At present, it is relatively difficult to perform real-time compression without information loss for such high-resolution, ultra-high-bandwidth image data streams at high frame rates (especially for image data streams exceeding 10Gbps).

Limited by high frame rate, high data bandwidth, and processing capability, most of the existing high-speed image acquisition systems store raw image data directly without any processing

Therefore, there is a large amount of redundant data in the image data, which actually wastes storage capacity, occupies additional transmission bandwidth, and greatly increases the implementation cost of the image acquisition and processing system.

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