Method and device for processing mobile terminal images

A mobile terminal and image processing technology, applied in the field of image processing, can solve problems such as high computational complexity, distortion, and increasing vertical neighborhood pixel constraints

Inactive Publication Date: 2013-02-06
ZTE CORP
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The nearest point interpolation algorithm assumes that there is a linear relationship between the pixel to be interpolated and its horizontal neighbor pixels, which often causes obvious distortion; the bilinear interpolation algorithm adds vertical neighbor pixels to be interpolated on the basis of the nearest point interpolation Due to the constraints of pixels, the interpolation performance is better than the former; compared with the above interpolation algorithm, which only considers the influence of pixels in the 4 neighborhoods of the pixel to be interpolated, the bicubic interpolation algorithm expands the range to 16 neighborhoods, and uses a smoother curve calculation The color value of the pixel to be interpolated has the best interpolation effect, but the computational complexity is also the highest

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
  • Method and device for processing mobile terminal images
  • Method and device for processing mobile terminal images
  • Method and device for processing mobile terminal images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0085] The image processing method of this embodiment is as figure 1 shown, including the following steps:

[0086] Step 10, performing ROI detection on the image to be processed according to the pre-acquired ROI prior information;

[0087] Preferably, the above-mentioned prior information of the region of interest can be pre-obtained in the following manner: provide the user with one or more images, each image contains one or more types of targets, and prompt the user to mark their interest in the provided images the target; calculate the characteristic parameters of the target of interest calibrated by the user; save the characteristic parameter of the target of interest of the user as prior information to the current user's standard target of interest library.

[0088] Preferably, the region-of-interest detection of the image to be processed is performed according to the pre-acquired prior information of the region of interest, including:

[0089] Step 101, divide the ima...

Embodiment 2

[0114] The device for realizing the above method is as figure 2 As shown, including the region of interest detection module and the resolution improvement module, where:

[0115] The region of interest detection module is used to pair the

[0116] Region-of-interest detection for the image to be processed;

[0117] Preferably, the ROI detection module includes a region division unit, a second calculation unit and a comparison unit, wherein:

[0118] The area division unit is used to divide the image to be processed into one or more object areas according to similar features inside the image;

[0119] The second calculation unit is used to calculate the characteristic parameters of the object area;

[0120] The comparison unit is configured to perform a similarity comparison between the feature parameters of the object area and the feature parameters in the standard area of ​​interest target library, and determine the object area whose similarity with the standard feature...

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 a method and a device for processing mobile terminal images, which are used for increasing the processing speed. The method comprises the steps that: area-of-interest detection is carried out on an image to be processed according to area-of-interest prior information which is obtained in advance; and the resolution of a detected area of interest is improved. The device comprises an area-of-interest detection module and a resolution improving module. Compared with the prior art, an area-of-interest detection part fully takes the prior information of a user interested object which is obtained in advance into consideration, and the detection accuracy of the area of interest is improved; and the resolution improving part of the area of interest only improves the resolution of the detected area of interest, so that the processing speed can be increased.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a mobile terminal image processing method and device. Background technique [0002] In the field of image processing, image enhancement is a very important direction. Image enhancement technology mainly focuses on making the original unclear image clear or enhancing certain features of interest and suppressing features of no concern, so as to achieve the purpose of improving image quality, enriching the amount of information, and enhancing image interpretation and recognition effects. [0003] Existing image resolution enhancement technologies can be roughly divided into two categories. One is based on multiple low-resolution images, correcting the images, and then using interpolation, reconstruction, or learning to obtain a high-resolution image. The effect of this type of method largely depends on the motion parameters before the two images, and the computational complexity is ...

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 Applications(China)
IPC IPC(8): G06T3/40G06T5/20
CPCG06T5/20G06T3/40
Inventor 张静
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap