Stratégies de communication robuste dans les canaux bruyants

Communication in Noisy Channels

Communication in noisy channels refers to the process of transmitting information through a communication medium that is affected by noise, which can lead to errors in the received information. Noise can come from various sources, such as electromagnetic interference, thermal noise, or inherent limitations of the communication medium itself. In order to effectively communicate in such environments, various techniques and strategies have been developed to improve the robustness of the communication system.

Robust Fragment Hiding in Large Number of Images

One approach to communication in noisy channels is through robust fragment hiding in a large number of images. This method involves embedding information into multiple images so that the information can be extracted even if some images are corrupted or affected by noise. The method uses a large number of images to increase the robustness of the communication system. The research by Wang et al. (2024) discusses the implementation of this method in the context of covert communication, aiming to achieve high performance even in the presence of noise and degradation.

Double-Layered Dual-Syndrome Trellis Codes

Another technique for robust communication in noisy channels is double-layered dual-syndrome trellis codes. This approach utilizes channel knowledge to improve the performance of steganography, a technique for hiding information within another message or signal. The method is particularly effective in dealing with errors caused by noise in the channel.

Content-Aware Robust JPEG Steganography for Lossy Channels

Content-aware robust JPEG steganography is another method for communication in noisy channels. This approach involves using machine learning techniques, such as LPCNet, to identify and select regions in JPEG images that are less likely to be affected by noise, making it possible to embed information without significantly degrading the image quality.

Selective Bit Embedding Scheme for Robust Blind Color Image Watermarking

The selective bit embedding scheme is a method for robust blind color image watermarking, which allows for the extraction of information even when the image is affected by noise. This method selectively embeds information into the least significant bits (LSBs) of an image, which are less susceptible to noise and can be easily extracted without affecting the image quality.

Blind Spatial Domain-based Image Watermarking Using Texture Analysis and Association Rules Mining

Another approach to robust image watermarking is the blind spatial domain-based method, which uses texture analysis and association rules mining to identify and embed information into regions of an image that are less sensitive to noise. This method is effective in maintaining the quality of the image while allowing for the extraction of the embedded information.

Entropy Based Spatial Domain Image Watermarking

Entropy-based spatial domain image watermarking is a method that takes advantage of the spatial properties of images to embed information. This approach considers the entropy of the image as a measure of the information content, and embeds the information in a way that is less likely to be affected by noise.

Secure and Robust Digital Image Watermarking Scheme Using Logistic and RSA Encryption

A secure and robust digital image watermarking scheme can be implemented using logistic and RSA encryption. This method combines the security of logistic encryption with the robustness of RSA encryption to ensure that the embedded information is protected from both noise and unauthorized access.

Robust Color Images Watermarking Using New Fractional-order Exponent Moments

Robust color image watermarking using new fractional-order exponent moments is a method that takes advantage of the fractional-order moments of image features to embed information. This method is effective in dealing with noise and can maintain the quality of the image while allowing for the extraction of the embedded information.

In conclusion, communication in noisy channels requires the use of robust techniques and strategies to ensure the successful transmission of information. These methods include robust fragment hiding, double-layered dual-syndrome trellis codes, content-aware robust JPEG steganography, selective bit embedding schemes, blind spatial domain-based image watermarking, entropy-based spatial domain image watermarking, and secure and robust digital image watermarking schemes using logistic and RSA encryption. By employing these techniques, it is possible to improve the robustness of communication systems and effectively transmit information even in the presence of noise.