Digital Image Processing: Advanced Technologies and Applications

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image processing; nonphotorealistic rendering (NPR); style transfer; structure-aware; deep learning; urdu numeral recognition; convolutional neural network; SVM; GoogLeNet; ResNet; automatic video classification; deep learning; handcrafted features; video processing; machine learning; object detection; vehicle detection; Faster RCNN; license plate recognition; object detection; optical character recognition; Arabic OCR; preprocessing; segmentation; classification; postprocessing; photogrammetry; computer vision; artificial intelligence; feature-based matching; feature extraction methods; hand-crafted methods; learning-based methods; classification; deep learning; object detection; adversarial domain adaptation; bidirectional feature learning process; generative network; adversarial learning; KC-YOLO; object detection; identity validity discriminator; multi-pedestrian tracking; breast cancer; mammography; deep learning; multi-label classification; convolutional neural network (CNN); unmanned aerial vehicle (UAV) photogrammetry; ground sample distance (GSD); modulation transfer function (MTF); image quality; deep learning; pre-trained models; child handwriting recognition; Dhad; Hijja; instance segmentation; Segment Anything Model; computed tomography; non-destructive testing; neural networks; machine learning; analysis platform; behavior recognition; human-computer interaction; n/a