Plug-and-Play PRNU Enhancement Algorithm with Guided Filtering by Yufei Liu, Yanhui Xiao, Huawei Tian

“…As a weak high-frequency signal embedded in digital images, Photo Response Non-Uniformity (PRNU) is particularly vulnerable to interference from low-frequency components during the extraction process, which affects its reliability in real-world forensic applications. …”
Get full text

The efficiency of Color Models layers at Color Images as Cover in text hiding by Qasim Mohammed Hussein, Ahmed Saadi Abdullah, Nada Qasim Mohammed

“…The nature of the color mode of the cover plays a main role in determining the robustness and security of hiding algorithm. The objective of this paper tests the layers, components, of the color models of cover color images, to figure out which color layer of each color model is best (less affected) to use as a cover to hide information within each color model in the hiding process. …”
Get full text

Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power by Zhimao Lai, Lijuan Cheng, Renhai Feng

“…Digital image source identification primarily focuses on analyzing and detecting the machine imprints or camera fingerprints left by imaging devices during the imaging process to trace the origin of digital images. …”
Get full text

Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…In this paper, a novel set of 13 handcrafted features derived from the contours of ships in synthetic aperture radar (SAR) images is introduced for ship classification. Additionally, the information entropy is presented as a valuable metric for quantifying the confidence (or uncertainty) associated with classification predictions. …”
Get full text

Assessing the quality of whole slide images in cytology from nuclei features by Paul Barthe, Romain Brixtel, Yann Caillot, Benoît Lemoine, Arnaud Renouf, Vianney Thurotte, Ouarda Beniken, Sébastien Bougleux, Olivier Lézoray

“…Background and objective: Implementation of machine learning and artificial intelligence algorithms into digital pathology laboratories faces several challenges, notably the variation in whole slide image preparation protocols. …”
Get full text

Non-destructive detection of internal quality of apple based on CT image by HUANG Taotao, SUN Teng, ZHANG Jingping

“…Secondly, the atactic pulp area should be separated from the faulted image by means of a segmentation algorithm named Otsu, which is an adaptive threshold method. …”
Get full text

Image Enhancement Based on Wavelet Transform and Contrast  Limited Adaptive Histogram Equalization by YU Tian-he, MENG Xue, PAN Ting, LAN Chao-feng

“…Contrast limited adaptive histogram equalization (CLAHE) is an efficient algorithm to improve the local details of an image In this paper, we propose an image enhancement method named CLAHE Discrete Wavelet Transform to solve the problem of contrast and overstretched noise in the application process，which combines CLAHE and discrete wavelet transform This method consists of three major steps: First, the original image is decomposed into low frequency and high frequency by the discrete wavelet transform Then, the low frequency coefficients are enhanced by CLAHE and the high frequency coefficients is filtered to limit the noise enhancement This is because the highfrequency component corresponding to the details, the low frequency portion comprises most of the noise image haze Finally, reconstruct the image by taking inverse discrete wavelet transform of the new coefficients…”
Get full text

An Improved Feedback Network Superresolution on Camera Lens Images for Blind Superresolution by Yuhao Liu

“…In this paper, we propose an Improved Superresolution Feedback Network (ISRFN) which is designed free to predefine the downsampling blur kernel by dealing with real-world HR-LR image pairs directly without downsampling process. …”
Get full text

Deep Learning Model-Based Detection of Anemia from Conjunctiva Images by Najmus Sehar, Nirmala Krishnamoorthi, C. Vinoth Kumar

“…These processed and augmented images were then utilized to train and test multiple models, including statistical regression, machine learning algorithms, and deep learning frameworks. …”
Get full text

Markov model of representation of sensual images for the formation of the model of the outside world by A. A. Solodov

“…This approach allows formalizing the processes of representation of sensory images in the cognitive system, taking into account both the internal logic of the system and the interaction of the system with the outside world. …”
Get full text

Images Inpainting Quality Evaluation Using Structural Features and Visual Saliency by Shuang Ma, Jinhe Liu

“…Despite the extensive research on developing robust image inpainting algorithms in recent years, there are almost no objective metrics for the quality assessment of inpainted images currently. …”
Get full text

A photogrammetric approach to the estimation of distance to animals in camera trap images by B. Mirka, C.D. Lippitt, G.M. Harris, R. Converse, M. Gurule, S.E. Sesnie, M.J. Butler, D.R. Stewart, Z. Rossman

“…This research evaluates the potential of SfM to create 3D models of the areas within a camera trap field-of-view to produce depth maps that can be used to automate the distance estimation process from bounding box-labeled imagery. These methods have the potential, when paired with deep learning algorithms or crowdsourcing, to automate the process of wildlife identification and distance estimation, reducing the need for manual fieldwork or analysis while increasing the precision and replicability of population estimates. …”
Get full text

Clarification of Degraded Neutron Radiographic Images and Its Quality Metric Method by ZHANG Tian, MENG Chengbo, ZHANG Zhen, ZHAO Chenyi, QIAO Shuang

“…Most of the existing distortion suppression algorithms for neutron radiographic images require some prior information on distortion, such as noise intensity and blur intensity. …”

Application of Genetic Algorithms for Finding Edit Distance between Process Models by Anna A. Kalenkova, Danil A. Kolesnikov

“…In particular, we find distances between BPMN (Business Process Model and Notation) models discovered from event logs by using different process discovery algorithms. …”
Get full text

Theoretical investigation of photonic spin Hall effect based on layered metastructure with graphene regulation by WOA for encoding and encryption by Na Pei, Ye Zheng, Yue-Qi Tang, Xing-Zhou Tang, Hai-Feng Zhang

“…Additionally, optical coding is combined with a data selector to enable image information encryption and flexible switching between multi-channel images. …”
Get full text

Advanced IoT-integrated parking systems with automated license plate recognition and payment management by Gulmini Pradhan, Manas Ranjan Prusty, Vipul Singh Negi, Suchismita Chinara

Subjects: Get full text

Deep Learning-Based Flap Detection System Using Thermographic Images in Plastic Surgery by Răzvan Danciu, Bogdan Andrei Danciu, Luiz-Sorin Vasiu, Adelaida Avino, Claudiu Ioan Filip, Cristian-Sorin Hariga, Laura Răducu, Radu-Cristian Jecan

Get full text

TomatoWUR: An annotated dataset of tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant-trait extraction algorithms for 3D plant phenotyping4TU.researc... by Bart M. van Marrewijk, Tim van Daalen, Katarína Smoleňová, Bolai Xin, Gerrit Polder, Gert Kootstra

“…Those three steps need to be analysed properly to indicate bottlenecks and improve 3D phenotyping algorithms.Currently, the development of 3D phenotyping algorithms is inhibited by the availability of comprehensive datasets and algorithms to analyse all steps. …”
Get full text

Research on Cultivated Land Quality Assessment at the Farm Scale for Black Soil Region in Northeast China Based on Typical Period Remote Sensing Images from Landsat 9 by Meng Gao, Zhao Yang, Xiaoming Li, Hongmin Sun, Yanhong Hang, Boyu Yang, Yang Zhou

“…The method provides significant references for future research on cultivated land quality assessment at the farm scale in terms of remote sensing image data processing and model construction.…”
Get full text

A non‐convex ternary variational decomposition and its application for image denoising by Liming Tang, Liang Wu, Zhuang Fang, Chunyan Li

Get full text