Violin Plots: An Enhanced Tool for Data Visualization in Health Studies by Zohreh Shishebor, Zahra Sajjdnia, Maryam Sharafi

“…Visualizations are a far more effective way of communicating statistical findings to a non-technical audience. …”
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Research and prospect of reversible data hiding method with contrast enhancement by Yang YANG, Wei-ming ZHANG, ong-dong HOUD, Hui WANG, Neng-hai YU

“…Reversible data hiding methods can recover the cover image losslessly after extracting the secret message from the marked image.Such technology can be used in the certification or the label of military,justice and medical images,which are sensitive and slight modification are not allowed.Especially for the medical images,RDH tech-nology can be used in protecting the privacy of the patient.A series of RDH methods with contrast enhancement ef-fect were introduced and classified into pixel-based histogram methods and prediction-error-based histogram meth-ods according to the type of carrier in RDH scheme.The main purpose of such algorithms was to improve the sub-jective visual quality of marked images and to embed secret data into cover image reversibly meanwhile.These se-ries of algorithms were suitable for the research of privacy protection of medical image.Finally,future development in this direction is prospected through analyzing the advantages and disadvantages of the existing work.…”
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Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

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From Google Earth Studio to Hologram: A Pipeline for Architectural Visualization by Philippe Gentet, Tam Le Phuc Do, Jumamurod Farhod Ugli Aralov, Oybek Mirzaevich Narzulloev, Leehwan Hwang, Seunghyun Lee

“…High-resolution holographic visualization of built environments remains largely inaccessible due to the complexity and technical demands of traditional 3D data acquisition processes. …”
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CCMCS-Net: Integrating Color Correction and Multicolor-Space Stretching for Improving Underwater Image Quality by Jianjun Chen, Yujie Yang, Jingjing Song, Xibei Yang, Jinlong Shi

“…Extensive experiments demonstrate that CCMCS-Net delivers outstanding results in both visual assessments and objective metrics for real and synthetic underwater images.…”
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Commodity Image Classification Based on Improved Bag-of-Visual-Words Model by Huadong Sun, Xu Zhang, Xiaowei Han, Xuesong Jin, Zhijie Zhao

“…Therefore, in this paper, the improved bag-of-visual-words model is presented, which contains three aspects of improvement: (1) multiscale local region extraction; (2) local feature description by speeded up robust features (SURF) and color vector angle histogram (CVAH); and (3) diagonal concentric rectangular pattern. …”
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Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

“…First, the intensity histogram and intensity-based statistical methods are applied to extract visual features from original AS-OCT images and AS-OCT-based histograms. …”
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Light adaptive image enhancement for improving visual analysis in intercropping cultivation by Wei Zhong, Wanting Yang, Yunfei Wang, Xiang Dong, Xiaowen Wang, Weidong Jia, Mingxiong Ou, Mingde Yan

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Content Based Image Retrieval (CBIR) by Statistical Methods by Fathala Ali et al.

“…The first procedure relies on extract the statistical feature of both original, traditional image by using the histogram and statistical characteristics (mean, standard deviation). …”
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JPEG reversible data hiding method based on optimal DCT frequency embedding by Ziyang ZHOU, Yun TAN, Jiaohua QIN, Xuyu XIANG

“…Joint photographic experts group (JPEG) images are widely used on the Internet due to their ability to maintain good picture quality while requiring less storage space.Reversible data hiding (RDH) techniques for JPEG images enable the hiding and extraction of secret information while allowing for lossless restoration of the original image.RDH is of great significance in file management and image authentication.However, many existing RDH methods result in a significant increase in the storage space of the encoded image after embedding secret information.For methods based on discrete cosine transform (DCT) coefficient embedding, the key issue that affects the performance of reversible information hiding in JPEG images is how to select the frequency band position.A reversible information hiding method for JPEG images was proposed, based on optimal DCT frequency embedding.The entropy decoded JPEG image was divided into 8×8 non-overlapping DCT blocks.The average texture complexity of each DCT block was calculated and ordered in ascending order.Then the alternating current (AC) in adjacent DCT blocks was paired pairwise.By satisfying the capacity of the information to be embedded, the optimal AC coefficient frequency position set was obtained from the distortion cost function of the AC coefficient frequency.The secret information was embedded according to the designed two-dimensional histogram mapping strategy.Experimental results demonstrate that the proposed method can reduce the expansion of the loaded image file’s storage size compared to existing methods, while maintaining good visual quality of the cover image.…”
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Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms by Xian-Hua Han, Yen-Wei Chen

“…To extract visual features from the images, we used histogram descriptor of edge, gray, or color intensity and block-based variation as global features and SIFT histogram as local feature. …”
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TWO-STAGE INTELLIGENT FAULT DIAGNOSIS OF MOTORS BASED ON VISUAL IMAGE FEATURES

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Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

“…Finally, the volume rendering pipeline with ray-casting algorithm is implemented to visualize several biomedical datasets. The noise in the volume data is suppressed effectively and the boundary between materials can be differentiated clearly by the transfer function designed via the modified 2D histogram.…”
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The Integrated Violin-Box-Scatter (VBS) Plot to Visualize the Distribution of a Continuous Variable by David W. Gerbing

“…The histogram remains a widely used tool for visualization of the distribution of a continuous variable, despite the disruption of binning the underlying continuity into somewhat arbitrarily sized discrete intervals imposed by the simplicity of its pre-computer origins. …”
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Real-time analysis of Delphi panel data to facilitate iterative rating within meetings by Julien B. Weinstein, Cainnear K. Hogan, Taylor Whittington, Jennifer Cano, Sarah M. Seelye, Jeremy B. Sussman, Steven J. Bernstein, Hallie C. Prescott

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From Photogrammetry to Virtual Reality: A Framework for Assessing Visual Fidelity in Structural Inspections by Xiangxiong Kong, Terry F. Pettijohn, Hovhannes Torikyan

“…To make it viable, we first introduce a novel workflow that integrates UAV-based photogrammetry, computer graphics, and web-based VR editing to establish interactive VR user interfaces. We then propose a visual fidelity assessment methodology that quantitatively evaluates the accuracy of the VR models through image alignment, histogram matching, and pixel-level deviation mapping between rendered images from the VR models and UAV-captured images under matched viewpoints. …”
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A weighted bag of visual words model for predicting fetal growth restriction at an early stage by Ani Dong, Yiheng Zhang, Weiling Li, Mengjie Chen

“…Approximately 300 texture features were extracted from the placental images using key texture feature selection and histogram of oriented gradients (HOG) extraction methods. …”
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Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

“…Moreover, the features extracted with a histogram of oriented gradients (HOG), local binary pattern (LBP), and KAZE bands were integrated to evaluate using random forest, extreme gradient boosting, extra trees, and support vector classifier algorithms. …”
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Effects of individuality, education, and image on visual attention: Analyzing eye-tracking data using machine learning by Sangwon Lee, Yongha Hwang, Yan Jin, Sihyeong Ahn, Jaewan Park

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Analisa Visual Citra Hasil Kombinasi Steganografi dan Kriptografi Berbasis Least Significant Bit Dalam Cipher by Ibnu Utomo Wahyu Mulyono, Yupie Kusumawati, Novita Kurnia Ningrum

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