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Found 7 papers, 0 papers with code
Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling
Halo artifacts significantly impact display quality.
Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation
To address these challenges, this study aims to propose a tasked-oriented Masked Auto-Encoder paradigm to effectively utilize large amounts of unlabeled data to achieve accurate tooth segmentation with limited labeled data.
A Psychological Study: Importance of Contrast and Luminance in Color to Grayscale Mapping
While preserving contrast is important for maintaining visual quality, other factors such as preserving information relevant to the specific application or task at hand may be more critical for achieving optimal performance.
A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
A new framework for monitoring joint space by quantifying JSN progression through image registration in radiographic images has been developed.
A Sub-pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
With its sub-pixel accuracy far beyond manual measurement, we are optimistic that our work is promising for automatically quantifying JSN progression.
A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications
This phenomena creates a perception of warm colors "advancing" toward the eye, while the cool colors to be "receding" away.
Real-time Tone Mapping: A State of the Art Report
In this state of the art report, we present a comprehensive survey of 50+ tone mapping algorithms that have been implemented on hardware for acceleration and real-time performance.
