Image enhancement system and method based on image segmentation
An image segmentation and image enhancement technology, which is applied in the field of image processing, can solve the problems of low efficiency of image enhancement, and achieve the effect of good enhancement effect, good effect and high efficiency
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Embodiment 1
[0026] Such as figure 1As shown in the image enhancement system based on image segmentation, the system includes: an image trivaluation unit configured to perform image trivaluation on the image to be processed according to the set three pixel intervals to obtain a trivaluated image; The image segmentation unit is configured to divide the image into several sub-images of different sizes according to the set three pixel intervals based on the obtained three-valued image, and each sub-image only contains the pixel value of one pixel interval; the image signal The conversion unit is configured to convolve a known function with the sub-image to obtain the convolved function, and use the convolved function as a source signal; the enhancement unit obtains the source signal and converts the source signal into a digital signal; the digital signal is decomposed by the state decomposition method to obtain a plurality of intrinsic mode functions, and the plurality of intrinsic mode funct...
Embodiment 2
[0029] On the basis of the previous embodiment, the state decomposition method includes an empirical state decomposition method, an aggregate empirical state decomposition method, or an adaptive binary mask empirical state decomposition method.
[0030] Specifically, there are many factors that affect the clarity of the image quality. The uneven outdoor illumination will cause the grayscale of the image to be too concentrated; the image obtained by the camera will undergo digital / analog conversion, and noise pollution will occur during line transmission, which will inevitably reduce the image quality. The performance is that the image is accompanied by noise, and it is difficult to see the details of the image; in severe cases, the image is blurred, and it is difficult to see the outline of the general object. Therefore, before the image is analyzed and processed, the image must be improved, that is, the image shall be enhanced. Image enhancement does not consider the cause of...
Embodiment 3
[0032] On the basis of the previous embodiment, it also includes: when amplifying the amplitude of the intrinsic mode function, the amplified frequency is equal to the frequency of the pixel with the highest frequency in the three-valued image; the magnification range is: 2-3.5.
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