Adaptive speech compression based on AMBTC

Most of the AMBTC-based RDH (absolute instantaneous block truncation) schemes Cannot be decrypted because AMBTC, which is unknown to most device. Also, some of the RDH methods based on AMBTC. But the load capacity obtained is low. For this purpose, in this work, a scalable RDH scheme based on AMBTC was introduced from the AMBTC zip code. In contrast to the decoder-based AMBTC-based RDH methods that are only able to achieve a constant payload for adjust the audio. Due to its advantages, sound pressure has attracted a great deal of attention in the last 20 years. The main developments concern transmission requirements and storage capacity. The need for high-quality audio data has been increased due to sudden improvements in computer manufacturers and technologies. Therefore, the developments include speech compression technologies, in which the two compression classes are lossless. This paper aims to review techniques for specification compression methods using AMBTC (a momentary absolute block truncation notation based ) method, and to summarize their importance and uses

Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods

This Special Issue is a book composed by collecting documents published through peer review on the research of various advanced technologies related to applications and theories of signal processing for multimedia systems using ML or advanced methods. Multimedia signals include image, video, audio, character recognition and optimization of communication channels for networks. The specific contents included in this book are data hiding, encryption, object detection, image classification, and character recognition. Academics and colleagues who are interested in these topics will find it interesting to read

Entropy in Image Analysis II

Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas

Data Hiding and Its Applications

Data hiding techniques have been widely used to provide copyright protection, data integrity, covert communication, non-repudiation, and authentication, among other applications. In the context of the increased dissemination and distribution of multimedia content over the internet, data hiding methods, such as digital watermarking and steganography, are becoming increasingly relevant in providing multimedia security. The goal of this book is to focus on the improvement of data hiding algorithms and their different applications (both traditional and emerging), bringing together researchers and practitioners from different research fields, including data hiding, signal processing, cryptography, and information theory, among others

Conditional Entrench Spatial Domain Steganography

Steganography is a technique of concealing the secret information in a digital carrier media, so that only the authorized recipient can detect the presence of secret information. In this paper, we propose a spatial domain steganography method for embedding secret information on conditional basis using 1-Bit of Most Significant Bit (MSB). The cover image is decomposed into blocks of 8*8 matrix size. The first block of cover image is embedded with 8 bits of upper bound and lower bound values required for retrieving payload at the destination. The mean of median values and difference between consecutive pixels of each 8*8 block of cover image is determined to embed payload in 3 bits of Least Significant Bit (LSB) and 1 bit of MSB based on prefixed conditions. It is observed that the capacity and security is improved compared to the existing methods with reasonable PSNR

Framework for reversible data hiding using cost-effective encoding system for video steganography

Importances of reversible data hiding practices are always higher in contrast to any conventional data hiding schemes owing to its capability to generate distortion free cover media. Review of existing approaches on reversible data hiding approaches shows variable scheme mainly focussing on the embedding mechanism; however, such schemes could be furthermore improved using encoding scheme for optimal embedding performance. Therefore, the proposed manuscript discusses about a cost-effective scheme where a novel encoding scheme has been used with larger block sizes which reduces the dependencies over larger number of blocks. Further a gradient-based image registration technique is applied to ensure higher quality of the reconstructed signal over the decoding end. The study outcome shows that proposed data hiding technique is proven better than existing data hiding scheme with good balance between security and restored signal quality upon extraction of data

AUTHENTICATION, TAMPER LOCALIZATION AND RECTIFICATION ALGORITHM WITH PRIVACY PRESERVATION OF IMAGE FOR THE CLOUD USING HMAC

Digital images like military, medical and quality control images are increasingly stored over cloud server. These images need protection against attempts to manipulate them since manipulations could tamper the decisions based on these images, many approaches have been proposed to protect the privacy of multimedia images over cloud through cryptography, these cryptographic approaches prevent the visibility of image contents but it does not identify if any changes are made on encrypted data by insider attack and cipher-text only attack. In this paper, we proposed to provide authentication, tamper localization, rectification along with privacy preservation of the image using padding extra bit plane for tamper localization, Hash message authentication code (HMAC) algorithm to authentication image, tamper rectification. The proposed algorithm will provide privacy to the image through hiding bit planes