Information processing method and electronic device
An information processing method and technology of electronic equipment, applied in the field of image processing, can solve problems such as blurred photos
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Embodiment 1
[0049] This embodiment records an information processing method, and the schematic diagram of the implementation flow of the information processing method described in this embodiment is as follows figure 1 shown, including the following steps:
[0050] Step 101, acquiring n first images and quality information of the n first images, where n is an integer greater than 1.
[0051] The n first images are used to determine the mapping relationship between the blur kernel of the image and the image quality, so that the quality of the second image can be determined according to the mapping relationship.
[0052] Step 102, determining n first blur kernels, where the n first blur kernels are blur kernels determined sequentially based on the n first images.
[0053] Step 103, determining kernel energies of the n first blur kernels.
[0054] Step 104: Determine the mapping relationship between the kernel energy of the first blur kernel and the quality information of the first image a...
Embodiment 2
[0064] This embodiment records an information processing method, and the schematic diagram of the implementation flow of the information processing method described in this embodiment is as follows figure 2 shown, including the following steps:
[0065] Step 201, acquiring n first images and quality information of the n first images, where n is an integer greater than 1.
[0066] The n first images are used to determine the mapping relationship between the blur kernel of the image and the image quality, so that the quality of the second image can be determined according to the mapping relationship.
[0067] Step 202: Determine n first blur kernels, where the n first blur kernels are blur kernels determined sequentially based on the n first images.
[0068] Step 203, correspondingly determining the sum of squares or sum of absolute values of elements of each of the n first blur kernels as the kernel energy of the first blur kernel.
[0069] In practical applications, the f...
Embodiment 3
[0080] This embodiment records an information processing method, and the schematic diagram of the implementation flow of the information processing method described in this embodiment is as follows image 3 shown, including the following steps:
[0081] Step 301, acquiring n first images and quality information of the n first images, where n is an integer greater than 1.
[0082] The n first images are used to determine the mapping relationship between the blur kernel of the image and the image quality, so that the quality of the second image can be determined according to the mapping relationship.
[0083] Step 302, for each of the n first images, using the prior function of the blur kernel, sequentially determine the maximum value of the prior function for each of the n first images. The optimal value is correspondingly determined as the first blur kernels of the n first images by sequentially determining the optimal value.
[0084] The n first blur kernels are blur kernel...
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