Crowd counting considers one of the most significant and challenging issues in computer
vision and deep learning communities, whose applications are being utilized for various …

Abstract Least Significant Bit (LSB) matching revisited method is a modification to the LSB
matching, which is a data hiding method for embedding message bits into a cover image …

Estimating the crowd count and density of highly dense scenes witnessed in Muslim
gatherings at religious sites in Makkah and Madinah is critical for developing control …

In this study, we investigate advances in reversible data hiding (RDH), a critical area in the
era of widespread digital data sharing. Recognizing the inherent vulnerabilities such as …

Face information is vulnerable to theft and misappropriation in Internet face interactions,
compromising user privacy. Image hiding can covertly embed confidential images in cover …

In 2018, Tseng et al. proposed a dual-image reversible embedding method based on the
modified Least Significant Bit matching (LSB matching) method. This method improved on …

This paper provides securing flowing of data in optical systems through encoding and
steganography. Encoding (Cryptography) and steganography are major elements for secure …

Now-a-days, the network has significant roles in transferring data and knowledge quickly
and accurately from sender to receiver. However, the data is still not secure enough to …

The quest for accurate traffic density estimation is gaining momentum globally, with Vietnam
distinguished by its ranking among the top ten nations for private vehicle usage. Rapid …

Lu et al. proposed a dual imaging-based reversible hiding technique using LSB matching in
2015, two pixels as a group and LSB matching method is used to embed the secret …