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Volume 12, No. 4, 2024
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Article# Article Title & Authors (Volume 12, No. 4, 2024) Page
1
Quality Inpainting and Region Filling Using a Complete-Composite Patch Sampling Scheme (CCPSS) Based on Statistical Estimation
Sujata G. Bhele*, Shashank Shriramwar, and Poonam T. Agarkar
 320
2
Enhancing Image Denoising Efficiency: Dynamic Transformations in BM3D Algorithm
Ayyub Hamdanu Budi Nurmana, Mars Caroline Wibowo*, and Sarwo Nugroho
 332
3
A Fast Horizon Detector and a New Annotated Dataset for Maritime Video Processing
Yassir Zardoua*, Mohammed Boulaala, Mhamed El Mrabet, and Abdelali Astito
 345
4
Image Processing-Based System for Apple Sorting
Andrea Pilco*, Viviana Moya, Angélica Quito, Juan P. Vásconez, and Matías Limaico
 362
5
A Delaunay Triangulation-Based Low-Poly Image Abstraction
Philumon Joseph*, Binsu C. Kovoor, and Job Thomas
 372
6
Aflutter Craft: Neural Art Transfer Platform
Rawad Abdulghafor
 382
7
A Review of Deep Learning in Inverse Problem Imaging Using Super-Resolution Reconstruction Algorithms
Rongfu Wang* and Mary Jane C. Samonte
 396
8
A Novel Color Feature for the Improvement of Pigment Spot Extraction in Iris Images
Mohamad Faizal Ab Jabal*, Asniyani Nur Haidar Abdullah, Fallah H. Najjar, Suhardi Hamid, Ahmad Khudzairi Khalid, and Wan Dorishah Wan Abdul Manan
 410
9
Road Pothole Detection Using YOLOv8 with Image Augmentation
Ken Gorro*, Elmo Ranolo, Lawrence Roble, and Rue Nicole Santillan
 417
10
Deep Learning-Based Classification and Diagnosis of Alzheimer’s & Dementia Using Multi-scale Feature Extraction from Baseline MRI Scans
Manel Femmam*, Smain Femmam, Mohamed E. Fareh, Omar A. Senni, and Abdelnour Ferhani
 427
11
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation
Feda Bolus Al Baqain and Omar Sultan Al-Kadi*
 437
12
On the Classification Accuracy of Wireless Capsule Endoscopy Images for Small Intestine Bleeding Detection Using Convolutional Neural Network
Ziyad k. Farej, Amer F. Sheet, and Noora M. Sheet *
 450