Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Underwater robot image secret character embedding and decoding method

An underwater robot and image technology, applied in the field of image hidden characters, can solve problems such as no deep learning efficient solution

Pending Publication Date: 2020-12-11
BOYA GONGDAO BEIJING ROBOT TECH CO LTD
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] For the three application scenarios of bionic robots carrying secret information, individual ID recognition with global vision, and encrypted watermarking for consumer-grade underwater robots, the efficient application of deep neural networks based on autoencoders is a pioneering application. Efficient solution for deep learning of scenes

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
  • Underwater robot image secret character embedding and decoding method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0017] Such as figure 1 As shown, a method for embedding and decoding hidden characters in an image of an underwater robot according to an embodiment of the present invention includes the following steps:

[0018] S1: The original image I and the information to be encoded M1 are combined with four channels as input, and the encoded image O and the residual image R are output through the U-shaped network, and the I and O Wasserstein losses are calculated to obtain the first loss;

[0019] S2:...

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 underwater robot image secret character embedding and decoding method. The method comprises the following steps: combining an original image I and to-be-coded information M1into four channels as input, and outputting a coded image O and a residual image R through a U-shaped network, so as to obtain a first loss; inputting the coded image O, enhancing the robustness andgeneralization ability of the model, and calculating a cross entropy to obtain a second loss; weighting the first loss function and the second loss function, and analyzing and obtaining a function model with strong coding capability and low perception loss; training a BiSeNet semantic segmentation network, generating a large number of coded images O, predicatign alternative image areas where the coded images possibly appear, and then putting the alternative image areas into a decoder to be detected and judged. According to the method, the deep learning steganography is applied to encoding, decoding and retrieval of the secret information of the bionic robot, global vision individual ID deep learning steganography mode identification, and encrypted and hidden watermarking of a consumer-level underwater robot.

Description

technical field [0001] The invention relates to the technical field of hidden characters in images, in particular to a method for embedding and decoding hidden characters in images of underwater robots. Background technique [0002] For the three application scenarios of bionic robots carrying secret information, individual ID recognition with global vision, and encrypted watermarking for consumer-grade underwater robots, the efficient application of deep neural networks based on autoencoders is a pioneering application. An efficient solution for deep learning of scenarios. Contents of the invention [0003] Aiming at the above-mentioned technical problems in the related art, the present invention proposes a method for embedding and decoding hidden characters in underwater robot images, which can overcome the above-mentioned deficiencies in the prior art. [0004] For realizing above-mentioned technical purpose, technical scheme of the present invention is realized like t...

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): H04N19/467H04N19/91G06N3/04G06T1/00G06T9/00
CPCH04N19/467H04N19/91G06T9/002G06T1/0021G06N3/045
Inventor 熊明磊陈龙冬李鑫海
Owner BOYA GONGDAO BEIJING ROBOT TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com