High-resolution-image processing method

Abstract

The invention relates to a high-resolution-image processing method which includes the following steps: 1). image data is acquired; 2). preprocessing is performed on received filtered image data by a preprocessing unit; 3) the preprocessing unit sends the converted image data to a main processor for coding processing; 4). the image data is output according to monitoring instruction of a ground monitoring station, if the monitoring instruction is sending, the main processor sends the coded image data to an aerial carrier through an HDLC channel and the aerial carrier transmits the image data to the ground monitoring station through a wireless channel; and if the monitoring instruction is saving, the main processor saves the coded image data into a large-capacity storage device. The high-resolution-image processing method solves a technical problem that prior digital aerial photographic cameras are large in data quantity so that storage is hard and transmission is inconvenient and has the characteristics of being low in code stream, great in instantaneity, high in fault-tolerant capability, supportive of lossy and lossless compression, and low in cost and great in universality at the same time.

Description

technical field [0001] The invention relates to the field of graphics and image processing of embedded computers, in particular to a high-resolution image processing method. Background technique [0002] With the rapid development of modern sensor technology and computer technology, aerial reconnaissance cameras are also developing from traditional film to digital. Multi-band optical devices and CCD area arrays provide convenient conditions for the digitalization of aerial reconnaissance cameras. The resolution has played a guarantee role in the construction and development of the aerial earth observation system. However, in order to meet its high-precision and high-resolution requirements, the amount of original image data has also increased exponentially. How to ensure long endurance, high fidelity, and real-time data transmission? Due to the problems of short information recording time, poor image quality, high bit error rate, and poor real-time performance, traditional ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems of the existing digital aerial photographic cameras, which have a large amount of data, are not easy to store, and are not conducive to transmission, this invention provides a high-resolution image processing method, which can realize image Lossy and lossless compression of data can meet the requirements of long endurance, high fidelity, real-time data transmission, etc.

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