Secure outsourcing de-noising method of remote sensing image

A remote sensing image, security outsourcing technology, applied in the field of image denoising, can solve the problems of image encryption and denoising.

Active Publication Date: 2017-06-20
SHANGHAI OCEAN UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method cannot encrypt and denoise the image
[0007] Therefore, there is an urgent need for a method that can encrypt and denoise remote sensing images, which not only completes denoising but also ensures the security of remote sensing images, and there is no report on this denoising method at present

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
  • Secure outsourcing de-noising method of remote sensing image
  • Secure outsourcing de-noising method of remote sensing image
  • Secure outsourcing de-noising method of remote sensing image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] refer to figure 1 , the overall workflow of a safe outsourcing denoising method for remote sensing images of the present invention is as follows:

[0083] S1: Remote sensing image splitting and processing;

[0084] S2: Remote sensing images are randomly arranged;

[0085] S3: Johnson–Lindenstrauss transformation of remote sensing images;

[0086] S4: Paillier encryption of remote sensing images;

[0087] S5: Remote sensing image denoising;

[0088] S6: Remote sensing image Paillier decryption;

[0089] S7: Restoring the arrangement of remote sensing images;

[0090] S8: Remote sensing image merging processing.

[0091] Wherein, the remote sensing image denoising in the step S5 is non-local denoising of the remote sensing image, the steps S1-S4, S6-S8 are performed on the local client, and the step S5 is performed on the cloud.

Embodiment 2

[0093] refer to figure 2 as well as image 3 , the concrete working procedure of the safe outsourcing denoising method of a kind of remote sensing image of the present invention is as follows:

[0094] S1: Remote sensing image splitting processing on the local client

[0095] The steps of splitting the remote sensing image are: read the remote sensing image, set the length of the remote sensing image as im_h, the width as im_w, and the number of bands as im_band_number, split the remote sensing image into im_band_number images according to the band, and read 16 images of each band respectively The grayscale value of the bit depth.

[0096] S2: Randomly arrange remote sensing images on the local client

[0097] Select a remote sensing image of a band and arrange it randomly, the steps are as follows:

[0098] S21: Generate a random number sequence with a length of im_h×im_w, and record its index sequence as index sequence A1;

[0099] S22: Arrange the random number sequen...

Embodiment 3

[0155] The specific implementation process of a safe outsourcing denoising method for remote sensing images of the present invention is as follows:

[0156] S1: Remote sensing image splitting processing on the local client

[0157] Read the remote sensing image of the Landsat8 satellite. The length of the remote sensing image is 512, the width is 512, and the number of bands is 11. Split the remote sensing image into 11 images according to the band, and read the 16-bit gray value of each band .

[0158] S2: Randomly arrange remote sensing images on the local client

[0159] Select a remote sensing image of a band and arrange it randomly, the steps are as follows:

[0160] S21: Generate a random number sequence with a length of 512×512, and record its index sequence as index sequence A1;

[0161] S22: Arrange the random number sequence in ascending order, and record its index sequence as index sequence A2;

[0162] S23: According to the index order A1 and the index order A2, ...

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 relates to a secure outsourcing de-noising method of a remote sensing image. The method includes the following steps of: remote sensing image splitting processing; remote sensing image random arrangement; remote sensing image Johnson-Lindenstrauss conversion; remote sensing image Paillier encryption; remote sensing image non-local de-noising; remote sensing image Paillier decryption; remote sensing image restoration arrangement; and remote sensing image merging processing. According to the method of the invention, a remote sensing image which has been locally split and encrypted is arranged in cloud so as to be subjected to image de-noising; information leakage can be avoided; it only needs to perform decryption and merging locally so that the de-noised image of the remote sensing image can be obtained; and the PSNR (Peak Signal to Noise Ratio) of the original image can be increased.

Description

technical field [0001] The invention relates to the technical field of image denoising, in particular to a safe outsourcing denoising method for remote sensing images. Background technique [0002] In the process of acquisition and transmission of remote sensing images, affected by various noises, the details such as the edge texture of the image are lost, and the lines are blurred, which leads to the reduction of image quality and increases the difficulty of analyzing and processing remote sensing images. In order to obtain clear and high-quality remote sensing images, it must be denoised or pre-processed for noise reduction. [0003] With the development of air-space-ground three-dimensional remote sensing technology, remote sensing image data is growing explosively. Traditional remote sensing image processing based on stand-alone mode has exposed many problems, such as slow processing speed and poor concurrency performance. Therefore, the traditional remote sensing image...

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
IPC IPC(8): G06T5/00
CPCG06T2207/20221G06T2207/10032G06T5/70
Inventor 黄冬梅魏立斐戴亮宋巍石少华王丽琳吴国健
Owner SHANGHAI OCEAN UNIV
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