A Dehazing Method of Image
An image and image block technology, applied in the field of image processing to achieve the effect of eliminating blocky effects
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Embodiment 1
[0049] In order to solve the technical problems such as the block effect existing in the existing defogging methods, an embodiment of the present invention provides an image defogging method, which is applied to images containing fog, such as figure 2 As shown, the method includes the following steps:
[0050] Step S101: Obtain the dark channel of the image through the color channel of the image;
[0051] The image described in this embodiment refers to an image containing fog obtained by a digital imaging device (such as a mobile phone, a video camera, a digital camera, etc.), and the image is also called a color cast image. The color cast image has low contrast, serious loss of details, and fogging, which brings great difficulties to subsequent image processing and analysis.
[0052] In this embodiment, the image is decomposed by the channel method, and the pixel value of each pixel point of the image on the RGB (Red-red, Green-green, Blue-blue) channel is obtained, and ex...
Embodiment 2
[0093] This embodiment describes the present invention in detail based on an actual scene.
[0094] The present embodiment method comprises the following steps:
[0095] (1) Get the color channel of the image
[0096] Input the foggy images obtained by digital imaging devices such as digital cameras and mobile phone cameras into the computer, and represent the images in the RGB color space;
[0097] The color shift image is obtained by digital imaging equipment (such as digital camera, mobile phone camera, etc.). Under fog and haze conditions, the image quality captured by the optical sensor of digital imaging equipment is seriously degraded, the image contrast is low, the details are seriously lost, and foggy images are generated, which brings great difficulties to subsequent image processing and analysis. Read the fogged image into the computer, and obtain the pixel value of each pixel of the image in the three channels of R, G, and B through channel decomposition, so as t...
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