A survey of recent advances in image steganography

A Kumar, R Rani, S Singh - Security and Privacy, 2023 - Wiley Online Library
Over the course of technological development, data security while transmission and storing
has always been a field of continuous advancements and key importance. In the recent …

[HTML][HTML] A survey on different feature extraction and classification techniques used in image steganalysis

J Babu, S Rangu, P Manogna - Journal of Information security, 2017 - scirp.org
Steganography is the process of hiding data into public digital medium for secret
communication. The image in which the secret data is hidden is termed as stego image. The …

Segmentation of melanoma skin lesion using perceptual color difference saliency with morphological analysis

OO Olugbara, TB Taiwo… - … Problems in Engineering, 2018 - Wiley Online Library
The prevalence of melanoma skin cancer disease is rapidly increasing as recorded death
cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is …

Robust visual saliency optimization based on bidirectional Markov chains

F Jiang, B Kong, J Li, K Dashtipour, M Gogate - Cognitive Computation, 2021 - Springer
Saliency detection aims to automatically highlight the most important area in an image.
Traditional saliency detection methods based on absorbing Markov chain only take into …

On the use of a scanpath predictor and convolutional neural network for blind image quality assessment

A Chetouani, L Li - Signal Processing: Image Communication, 2020 - Elsevier
Image quality assessment is an important field in computer vision, since it has a great impact
on related tasks. To meet these needs, a plethora of metrics has been developed. In this …

Convolution, approximation and spatial information based object and color signatures for content based image retrieval

KT Ahmed, SAH Naqvi, A Rehman… - … on Computer and …, 2019 - ieeexplore.ieee.org
Content Based Image Retrieval (CBIR) is a challenging ground to retrieve the images based
on feature description and extraction. Salient image features are the potential candidates to …

[HTML][HTML] Deep features optimization based on a transfer learning, genetic algorithm, and extreme learning machine for robust content-based image retrieval

R Bibi, Z Mehmood, A Munshi, RM Yousaf, SS Ahmed - Plos one, 2022 - journals.plos.org
The recent era has witnessed exponential growth in the production of multimedia data which
initiates exploration and expansion of certain domains that will have an overwhelming …

Interactive Biogeography Particle Swarm Optimization for Content Based Image Retrieval

D Dubey, GS Tomar - Wireless Personal Communications, 2019 - Springer
In this paper, we propose biogeography particle swarm optimization (BPSO) approach for
content based image retrieval using low-level features like color and texture. This approach …

Deep saliency detection via spatial-wise dilated convolutional attention

W Cui, Q Zhang, B Zuo - Neurocomputing, 2021 - Elsevier
Saliency detection aims to highlight the area which significantly attracts human attention and
stands out in an image. In recent years, deep learning-based saliency detection has …

A blind image quality metric using a selection of relevant patches based on convolutional neural network

A Chetouani - 2018 26th European Signal Processing …, 2018 - ieeexplore.ieee.org
Image quality assessment is an important field in different computer vision applications. A
plethora of metrics has been proposed in the literature to answer this request. In this paper …