Color image enhancement method based on HIS color space
A color image and color space technology, applied in image enhancement, image data processing, instruments, etc., can solve the problem of unrecognizable texture features of ground objects in dark areas, improve image quality, suppress saturation change range, and high operating efficiency Effect
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2014-04-30
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
Description
technical field
[0001] The invention belongs to the field of remote sensing image processing and relates to a color image enhancement method based on IHS color space. Background technique
[0002] Remote sensing images play an important role in the application of ground feature interpretation and image interpretation. The visual effect of remote sensing images determines the accuracy of ground feature interpretation and image interpretation. For true-color images, insufficient illumination seriously reduces the visual effect of the image, making it impossible to recognize the edges of objects in dark areas in the image, thereby reducing the accuracy of image interpretation. The color image enhancement method is to maximize the brightness information of the image without changing the color information of the image, and enhance the sharpness of the edge to make up for the defects caused by insufficient light. The current color image enhancement method is mainly based on the R...
Examples
Embodiment Construction
[0021] The technical solution of the present invention can use computer software technology to realize the automatic operation process, and the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments. see figure 1 , the process of the embodiment can be divided into the following three steps:
[0022] Step 1, convert the color image from RGB color space to IHS color space.
[0023] During specific implementation, the conversion formula used is as follows:
[0024]
[0025] Among them, R, G, B represent the gray value of the pixel in the three bands (red, green, blue) in the 24-bit quantized color image, I, H, S represent the brightness, chroma, and saturation; min() represents Fetch operation. intermediate parameter is defined as follows:
[0026]
[0027] When the color image is enhanced, the linear transformation enhancement model used can keep the chromaticity information in the I...