CMOS image sensor structure for realizing predictive coding image compression

Abstract

The invention relates to the integrated circuit design field of microelectronics and the digital image coding compression field. According to the technical scheme, a CMOS image sensor structure for realizing predictive coding image compression is used for achieving the purposes that on the basis of no reduction of image sensing quality, the area and power consumption introduced in due to a predictive coding module which is additionally used are reduced, predictive coding is completed while an image is acquired, and disorder caused by an operational amplifier in the coding process is eliminated. The CMOS image sensor structure is characterized in that firstly, a pixel value read from a pixel array is transmitted to a correlated double-sampling circuit to be subjected to correlated double-sampling so that fixed-pattern noise can be eliminated, then, a predictive coding circuit carries out predicted value obtaining operation under control of a sequential circuit, a column-level subtracter is used for obtaining the difference, namely a residual value, between the predicted value and an original pixel value after the predicted value is obtained, and finally, the residual value is subjected to analog-digital conversion to obtain final output codes. The CMOS image sensor structure for realizing predictive coding image compression is mainly applied to integrated circuit design.

Description

technical field [0001] The invention relates to the field of integrated circuit design of microelectronics and the field of digital image coding and compression, in particular to a CMOS image sensor structure for realizing predictive coding. technical background [0002] The traditional CMOS image sensor-based video signal acquisition and processing process needs to quantify all pixel values ​​and transmit them outside the chip for compression processing. The compressed data can be stored or transmitted. It is not difficult to find that the readout end of the CMOS image sensor reads all the data, and discards a large amount of redundant data in the subsequent compression process. The entire image compression process has done a lot of useless work, making the processing efficiency low. . If the compressed data can be obtained directly at the readout end of the CMOS image sensor, redundant data can be eliminated at the source, especially as the scale of the pixel array contin...

AI Technical Summary

Problems solved by technology

Most of the existing focal plane compression methods are block-matrix conversion methods, which require a large number of switched capacitor circuits and huge capacitor arrays, which will not only amplify the low precision of analog circuits, but also make it difficult to meet the area requirements

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