Method for simplifying similarity determination of DCT pixel grayscale pictures
A determination method and pixel grayscale technology, applied in the field of image processing, can solve the problems of increased calculation amount, large workload, low success rate of similarity degree, etc., and achieve the effect of reducing calculation amount, saving time cost, and reducing calculation process.
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[0027] Such as figure 1 and figure 2 As shown, the first step: reduce the size of the picture: reduce the picture to a pixel size of 32x32, and reduce the DCT calculation.
[0028] Step 2: Reduce the image to grayscale: Reduce the image to 32 levels of grayscale, and the grayscale level should be consistent with the size of the image to eliminate the effect of scaling.
[0029] The third step: calculate DCT: through the DCT algorithm, the picture is divided into a set of frequency and scalar.
[0030] Step 4: DCT reduction: remove the 8x8 data in the upper left corner, which represents the lowest frequency in the graph.
[0031] Step 5: Calculate the average value of DCT: Calculate the average DCT value, remove the 8×8DCT low-frequency value, and exclude the first item, because if the DC coefficient is significantly different from other values, it will make the average value drop, starting from the lowest The low two-dimensional DCT coefficient of the second start, omittin...
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