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Reversible data hiding based on pixel segmentation and prediction for improving hiding capacity
The idea of the traditional histogram shifting technique is to hide a message within the cover-image pixel distribution. However, the embedding...
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Context pixel-based reversible data hiding scheme using pixel value ordering
Pixel value ordering (PVO) and prediction error expansion (PEE) techniques are now being combined for improved performance in the domain of...
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High capacity reversible data hiding in encrypted images based on adaptive quadtree partitioning and MSB prediction
To improve the embedding capacity of reversible data hiding in encrypted images (RDH-EI), a new RDH-EI scheme is proposed based on adaptive quadtree...
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Dynamic data hiding capacity enhancement for the Hybrid Near Maximum Histogram image steganography based on Multi-Pixel-Pair approach
Increasing data hiding capacity and making it difficult to detect presence of any confidential data in stego images are the key objectives in...
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Phase unwrap** via hierarchical and balanced residue partitioning
Branch cut placement is an important issue in 2D phase unwrap**. The main requirement is to get the shortest branch cut placement with a minimum...
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A pixel and channel enhanced up-sampling module for biomedical image segmentation
Up-sampling operations are frequently utilized to recover the spatial resolution of feature maps in neural networks for segmentation task. However,...
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A novel real-time pixel-level road crack segmentation network
Road crack detection plays a vital role in preserving the life of roads and ensuring driver safety. Traditional methods relying on manual observation...
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Dynamic optimal pixel block selection data hiding approach using bit plane and image encryption
Data hiding (DH) is a technique that hides the existence of sensitive information from the malicious users. In this paper, a novel dynamic block...
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Efficient motion modelling with variable-sized blocks from hierarchical cuboidal partitioning
This paper explores the potential of cuboidal partitioning in motion modelling compared to the commonly used fixed-sized block-based architecture in...
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Fusiform multi-scale pixel self-attention network for hyperspectral images reconstruction from a single RGB image
Current research on deep learning algorithms focuses on the reconstruction of hyperspectral images from a single RGB image. However, this does not...
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Image encryption framework based on multi-chaotic maps and equal pixel values quantization
The importance of image encryption has considerably increased, especially after the dramatic evolution of the internet and network communications,...
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Intelligent leather defect classification using Fourier angular radial partitioning algorithm with ensemble classifier
Leather quality inspection is essential in determining the usable area of the material. As leather is a natural substance, surface defects can have a...
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Low-complexity CNN-based CU partitioning for intra frames
The High-Efficiency Video Coding (HEVC) standard has high compression efficiency. This efficiency is achieved at the expense of increasing the...
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Pixel-Level Sonar Image JND Based on Inexact Supervised Learning
The Just Noticeable Difference (JND) model aims to identify perceptual redundancies in images by simulating the perception of the Human Visual System...
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Focus-pixel estimation and optimization for multi-focus image fusion
To integrate the effective information and improve the quality of multi-source images, many spatial or transform domain-based image fusion methods...
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CAM-K: a novel framework for automated estimating pixel area using K-Means algorithm integrated with deep learning based-CAM visualization techniques
This study proposed and implemented a novel framework that can automatically generate accurate area estimation of the identified brick-labeled pixels...
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Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
Fire stations (FS) are typically non-uniformly distributed across space, and their service area is, in general, defined based on administrative...
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Joint image compression and encryption using set partitioning in hierarchical tree in MSVD domain
This paper presents a joint compression and encryption technique using Set Partitioning in Hierarchical Tree (SPIHT) in Multi-resolution Singular...
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Automated classification of emphysema using data augmentation and effective pixel location estimation with multi-scale residual network
In modern medical diagnosis also, the emphysema is still recognized by the computed tomography (CT) scans with a set of defined patterns as a...
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3D-listless block cube set-partitioning coding for resource constraint hyperspectral image sensors
The hyperspectral image provides rich spectral information content, which facilitates multiple applications. With the rapid advancement of the...