Image mapping conversion method based on multiple lenses and multiple sensors and device

Abstract

The invention discloses an image mapping conversion method based on a multiple lenses and multiple sensors and a device. The device comprises a lens group, a sensor module and an image processing module; the image processing module comprises a data interface, projection conversion modules and a global control module; the lens group comprises at least one lens; the sensor module is used for converting an optical signal reflected by an object to an electric signal; the data interface is used for transmitting the data of at least one lens to the projection conversion module or converting the data of all lenses to an unified clock domain; the projection conversion module is used for processing the data of at least one lens and the sensor; the global control module is used for performing global control processing on the projection conversion modules. The image mapping conversion disclosed by the invention comprises an image conversion and an image mapping, simplifies the complexity of the conversion and mapping, reduces the operation quantity, improves the timeliness and reduces the power loss. Besides, the invention simultaneously process mapping and conversion of multiple lenses and supports the data reuse processing of multiple imaging units.

Description

technical field [0001] The invention relates to the field of image processing, and specifically relates to an image mapping transformation method and device based on multi-lens and multi-sensor. Background technique [0002] An image map is a graphic or text box that responds to link indications. Clicking on a defined area of ​​the graphic or text box will take you to the target linked to that area. [0003] Image transformation refers to the two-dimensional linear reversible transformation of the original image by using an orthogonal function or an orthogonal matrix to represent the image. Generally, the original image is called a spatial domain image, and the transformed image is called a transform domain image, and the transform domain image can be inversely transformed into a space domain image. The transformations used in image processing are all unitary transformations, that is, transformations whose kernels satisfy the orthogonal conditions. Images after unitary tra...

AI Technical Summary

Problems solved by technology

[0004] The image mapping transformation in the prior art still has the following disadvantages: the transformation coordinate relationship is generated through the projection transformation matrix, and the image is directly calculated and processed by using the coordinate relationship, which has a large amount of calculation, a long operation time, and a large power consumption; the existing mapping transformation has a large impact on the image The mapping position and deformation are limited; the existing mapping transformation is realized by FPGA hardware, the storage of the mapping table takes up a lot of storage resources, and the buffer storage of the input image and the output image also takes up a lot of storage resources, and a large amount of data is stored in The storage waits for the mapping relationship to be satisfied before processing, and the real-time performance is not high; the storage resource usage is large, and it is difficult to support the data of multiple lenses to be processed at the same time

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