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Gray scale image fitting enhancement method based on local histogram equalization

A histogram equalization and histogram equalization technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of over-enhancement, achieve uniform gray scale distribution, alleviate the problem of over-enhancement, and retain details and colors fidelity effect

Inactive Publication Date: 2016-06-08
SOUTH WEST INST OF TECHN PHYSICS
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Problems solved by technology

[0006] The purpose of the present invention is to provide a grayscale image equalization algorithm based on local histogram equalization fitting that can fully suppress the block effect and eliminate over-enhancement for the shortcomings of the traditional grayscale image histogram equalization algorithm and grayscale image enhancement technology. High-degree image enhancement method to solve the problems of over-enhancement when using POSHE algorithm to enhance infrared images

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  • Gray scale image fitting enhancement method based on local histogram equalization
  • Gray scale image fitting enhancement method based on local histogram equalization
  • Gray scale image fitting enhancement method based on local histogram equalization

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Embodiment Construction

[0015] The concrete steps of technical solution of the present invention are described as follows in conjunction with accompanying drawing:

[0016] refer to figure 1 , figure 2 . According to the present invention, a real-time processing platform based on an FPGA architecture or a DSP architecture or an FPGA+DSP architecture is used to first perform segmented linear transformation on the grayscale image, divide the image grayscale distribution interval into two sections or even multiple sections, and perform linear transformation on the grayscale image respectively. Transformation, by increasing the number of segments divided by gray-scale intervals, and adjusting the division points of each interval and the slope of the transformation line, any gray-scale interval can be expanded or compressed. image 3 The infrared image with a dynamic range greater than or equal to 14 bits shown can be transformed into a grayscale image with a dynamic range of 8 bits after a piecewise l...

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Abstract

The invention provides a gray scale image fitting enhancement method based on local histogram equalization. The gray scale image fitting enhancement method has advantages of improving gray scale image contrast and detail information and eliminating block effect and over-enhancement. The gray scale image fitting enhancement method comprises the steps of performing segmental linear transformation on a gray scale image in an overwide dynamic range, obtaining the gray scale image in an appropriate dynamic range, dividing an image gray scale distribution interval to two segments to multiple segments, adjusting the gradient of a segmenting point and a transformation line of each image gray scale distribution interval, performing expansion or compression on a random gray scale interval; performing subblock part overlapping histogram equalization on a transformation result, obtaining the transformation function of the current subblock through performing weighted summation on a subblock transform function in the neighborhood, performing histogram equalization processing on the current subblock by means of the transformation function; and performing nonlinear fitting on the gray scale map after histogram equalization, and performing histogram distribution correction on the gray scale image after subblock part overlapping histogram equalization.

Description

technical field [0001] The invention relates to an infrared image processing method applicable to various grayscale images, including a relatively high dynamic range and grayscale digits equal to or greater than 14 digits. In particular, it relates to an improved histogram enhancement method, so as to realize a technical solution for improving the visual effects of grayscale images with low resolution, low contrast, low signal-to-noise ratio and blurred visual effects. Background technique [0002] Image acquisition refers to the process of imaging an object and the technology of converting an analog image into a digital image. Due to the limitations of meteorological factors in the external scene and the imaging principle of the detector, the image quality of the acquired image has low contrast, low resolution, and high signal quality. Low noise ratio and visual effects. In view of the characteristics of low contrast and fuzzy details of degraded images in foggy weather, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/40
CPCG06T5/40G06T2207/20192G06T5/90
Inventor 黄自力
Owner SOUTH WEST INST OF TECHN PHYSICS
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