Unlock instant, AI-driven research and patent intelligence for your innovation.

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

Active Publication Date: 2018-02-27
LENOVO (BEIJING) LTD
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, when a hand-held device with a rapid continuous shooting function takes pictures, due to reasons such as motion and out-of-focus, the continuous shooting photos will appear blurred to varying degrees. Determining the blurriness of different photos to evaluate photo quality based on blurriness, there is no corresponding solution

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Information processing method and electronic device
  • Information processing method and electronic device
  • Information processing method and electronic device

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an information processing method and electronic equipment, the method comprising: acquiring n first images and quality information of the n first images, where n is an integer greater than 1; determining n first blur kernels, The n first blur kernels are blur kernels determined sequentially based on the n first images, and the kernel energy of the n first blur kernels is determined; according to the kernel energy of the n first blur kernels , and the quality information of the n first images, determining the mapping relationship between the kernel energy of the first blur kernel and the quality information of the first image; obtaining a second image, determining a second blur kernel, and the first blur kernel The second blur kernel is the blur kernel determined based on the second image, and the kernel energy of the second blur kernel is determined; according to the kernel energy of the second blur kernel and the mapping relationship, the second image is determined quality; the present invention can accurately evaluate image quality.

Description

technical field [0001] The invention relates to image processing technology, in particular to an information processing method and electronic equipment. Background technique [0002] At present, when a hand-held device with a rapid continuous shooting function takes pictures, due to reasons such as motion and out-of-focus, the continuous shooting photos will appear blurred to varying degrees. Determining the blurriness of different photos to evaluate photo quality based on blurriness has no corresponding solution. Contents of the invention [0003] Embodiments of the present invention provide an information processing method and an electronic device, which can accurately determine the degree of blur of an image to evaluate image quality. [0004] The technical scheme of the embodiment of the present invention is realized like this: [0005] An embodiment of the present invention provides an information processing method, the method comprising: [0006] Acquire n first i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04N17/00
Inventor 张帆许之敏柯海滨
Owner LENOVO (BEIJING) LTD