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 image enhancement efficiency and achieve good enhancement effect, good effect and high efficiency

Active Publication Date: 2021-06-11
NEW VISION MICROELECTRONICS INC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Although its enhancement method can avoid the color loss problem during the image enhancement process, its efficiency for image enhancement is still low, and it is still to convert the image to the color space for operation.

Method used

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  • Image enhancement system and method based on image segmentation
  • Image enhancement system and method based on image segmentation

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Experimental program
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Effect test

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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Abstract

The invention relates to the technical field of image processing, in particular to an image enhancement system and method based on image segmentation. The system includes: an image three-valued unit configured to perform three-valued image processing on the image to be processed according to three set pixel intervals to obtain a three-valued image; an image segmentation unit configured to Value-based image, according to the set three pixel intervals, divides the image into several sub-images of different sizes, and each sub-image only contains the pixel value of one pixel interval. After the image is three-valued, the image is converted into a signal, and the image is enhanced based on the obtained signal. Compared with the existing image enhancement method, the signal enhancement method is more efficient because there is no need to target the pixels in the image. At the same time, the enhanced effect is better, because the known function can be adjusted according to the actual situation, making it more suitable for the enhancement of the current image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image enhancement system and method based on image segmentation. Background technique [0002] Enhance the useful information in the image, it can be a process of distortion, its purpose is to improve the visual effect of the image, for the application occasion of the given image. [0003] Purposefully emphasize the overall or local characteristics of the image, make the original unclear image clear or emphasize some interesting features, expand the difference between different object features in the image, suppress uninteresting features, and improve the image Quality, rich information, enhanced image interpretation and recognition effects, to meet the needs of some special analysis. [0004] Image enhancement can be divided into two categories: frequency domain methods and spatial domain methods. [0005] The former regards the image as a two-dimension...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/50G06T7/11G06T7/13G06T7/136G06T7/194
CPCG06T5/001G06T5/50G06T2207/20021G06T2207/20104G06T2207/20221G06T2207/30168G06T7/11G06T7/13G06T7/136G06T7/194
Inventor 肖宏
Owner NEW VISION MICROELECTRONICS INC
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