Liquid crystal lens imaging device and liquid crystal lens imaging method

Abstract

The invention provides a liquid crystal lens imaging apparatus and an imaging method. The imaging apparatus comprises a polarized light generation component converting incident lights into linearly polarized lights, a lens set having a liquid crystal lens, a driving circuit enabling the liquid crystal lens to be at a focusing state and a non-focusing state, an image collection unit collecting a linearly polarized light signal passing through the liquid crystal lens and generating an image according to the linearly polarized light signal, and an image processing unit receiving and processing focusing images and non-focusing images and enabling the processed image to be an imaged image. An included angle is formed between a polarized direction of the linearly polarized light and a polarized direction of the linearly polarized light preset regulated by the liquid crystal lens; and when the liquid crystal lens is at the focusing state or the non-focusing state, the focusing image or a non-focusing image is formed. The imaging apparatus has compact structure; image contrast can be improved via the real non-focusing image generated by the liquid crystal lens; and high image quality can be achieved.

Description

technical field [0001] The invention relates to the technical field of lens imaging, in particular to a liquid crystal lens imaging device and a liquid crystal lens imaging method. Background technique [0002] Traditionally, the contrast of the image directly generated by the imaging device is low, and it is often necessary to improve the contrast by means of image processing. For example, in Gonzalez, R.C., Woods, R.E.: 'Digital image processing, 2nd', SL: PrenticeHall, 2002, the method of "unsharp mask" is introduced to improve the contrast of the image. Specifically, the original image directly obtained by the imaging device is convolved with a low-pass filter to generate a blurred image, and the original image is processed by using the blurred image, so as to obtain a final image with high contrast. It can be seen from the above that the final image enhances the high-frequency part of the original image, thereby achieving the effect of improving the image contrast. ...

AI Technical Summary

Problems solved by technology

It can be seen that it is difficult to construct a low-pass filter that can completely reflect objects to form a real blurred image

In addition, this image processing method also has the problem of parameter selection, because the type and size of the low-pass filter used will affect the processing result, that is, the authenticity of the simulated blurred image

Images