IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jul 30, 2025
Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos, particularly on smooth regions of high-definition videos. Noticeable... read more
We propose a learnable variational model that learns the features and
leverages complementary information from both image and measurement domains for
image reconstruction. In particular, we introduce a learned alternating
minimization algorithm (LA... read more
This paper introduces an efficient IoT-based framework for predicting crop damage within smart agricultural systems, focusing on the integration of Internet of Things (IoT) sensor data with advanced machine learning (ML) and ensemble learning (EL) te... read more
Moir\'e patterns, caused by frequency aliasing between fine repetitive
structures and a camera sensor's sampling process, have been a significant
obstacle in various real-world applications, such as consumer photography and
industrial defect inspec... read more
Fashion design is a complex creative process that blends visual and textual
expressions. Designers convey ideas through sketches, which define spatial
structure and design elements, and textual descriptions, capturing material,
texture, and stylist... read more
Tokenization is a fundamental step in natural language processing (NLP) and
other sequence modeling domains, where the choice of vocabulary size
significantly impacts model performance. Despite its importance, selecting an
optimal vocabulary size r... read more
The integration of artificial intelligence (AI) in nursing care is an important professional issue. However, few studies have investigated the knowledge, attitudes, application, and acceptance of artificial intelligence in nursing care. This study ai... read more
OBJECTIVE: High-resolution CT (HR-CT) cannot image trabecular bone due to insufficient spatial resolution. Ultra-high-resolution CT may be a valuable alternative. We aimed to describe the accuracy of Canon Medical HR, super-high-resolution (SHR), and... read more
Prompt-based continual learning provides a rehearsal-free solution by tuning
small sets of parameters while keeping pre-trained models frozen. To meet the
complex demands of sequential tasks, it is crucial to integrate task-specific
knowledge withi... read more
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