Image data processing method, image data processing device, image data processing equipment and computer-readable storage medium

Abstract

The embodiment of the invention discloses an image data processing method, an image data processing device, image data processing equipment and a computer-readable storage medium, wherein the method comprises the steps of: obtaining original image data to be processed, and obtaining the pixel value and the pixel distribution information of the original image data; generating a grey-level histogramaccording to the pixel value and the pixel distribution information; according to pre-set inhibition parameters, calculating piecewise linearly changed piecewise threshold values based on the grey-level histogram; and performing piecewise linear grey-level transformation on the grey-level histogram according to various piecewise threshold values, so that processed image data is obtained. According to the image data processing method, the image data processing device, the image data processing equipment and the computer-readable storage medium disclosed by the invention, in combination with the ideas of histogram equalization and piecewise linear transformation, the piecewise threshold values of a piecewise linear transformation function are determined by adoption of the histogram method;because piecewise linear grey-level transformation based on the histogram is a pixel point processing method, the image contrast can be stretched; images are clear; characteristics are obvious; therefore, the visual effect of the processed image data is improved; the image data display effect is improved; and the image data quality is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image data processing method, device, equipment, and computer-readable storage medium. Background technique [0002] Driven by the rapid development of Internet technology, image processing technology has developed rapidly. The application of remote sensing technology is the expansion of human vision in the spectral range. In the visible light part, the human eye can distinguish about 3,000 colors. For black and white images, the human eye can only distinguish 20 to 30 gray levels. In the non-visible light band, it is necessary to convert the gray value of the image to the range of 0-255 to facilitate observation. When the original remote sensing image is concentrated in a certain gray scale range, the contrast of the image is small and the contrast is poor, which is not conducive to the resolution of the human eye, so it is necessary to en...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, the linear grayscale change is generally used for image processing, and the dynamic range of the grayscale value of the input image (original image) is stretched and extended to the specified range or the entire dynamic range according to the linear relationship formula. Although this method can obtain a certain effect, but the processed image still cannot meet the user's demand for the quality of remote sensing image

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