General quality detection method of block average resolution combination without reference underwater images
An underwater image and image quality technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of blur, low contrast, light spots, etc., to achieve the effect of improving real-time performance, small calculation amount and high sensitivity
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Embodiment 1
[0031] Embodiment 1, a method for detecting the universality and quality of a block average definition combination without reference underwater images:
[0032] This method selects the global contrast and performs quality inspection based on local sharpness, and uses the result of image edge detection as the basis for judging whether there is a target; when detecting, the image with the target is divided into a series of image blocks, and the image blocks with measurement value The average value of sharpness evaluation and the weighted sum of global contrast and average brightness are used as a measure of image quality; when there is no target in the image, the stretchable range of contrast and average brightness are used as indicators to measure image quality; specifically The method steps are as follows:
[0033] for an underwater image I ,Assume I The image quality of Q , Q A larger value indicates that the image contains the target and is clearer, Q A smaller value in...
Embodiment 2
[0044] Embodiment 2, using the method of Embodiment 1 to conduct a detection experiment on any pair of underwater optical vision grayscale images:
[0045] Calculate the normalized contrast adjustment range, calculate the normalized cumulative histogram of the input grayscale image, and set I_Low to be the normalized gray level (0~ 1), I_High is the normalized gray level (0~1) corresponding to the first cumulative distribution reaching 0.99 in the histogram. T1=I_High-I_Low.
[0046] Calculate the average T of the normalized gray level of the image 2 . Assuming that the size of the image I is M×N, the normalized gray level average T 2 for:
[0047]
[0048] Carry out edge detection to image, adopt the algorithm of Sobel edge detection to obtain binary edge image in the embodiment of the present invention, but in the present invention, carry out edge detection to image and can adopt the method for any other single-pixel wide binary image edge detection.
[0049] Then, c...
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