Results 11 to 20 of about 28,803 (185)

HDR-ChipQA: No-reference quality assessment on High Dynamic Range videos

Signal Processing: Image Communication
We present a no-reference video quality model and algorithm that delivers standout performance for High Dynamic Range (HDR) videos, which we call HDR-ChipQA. HDR videos represent wider ranges of luminances, details, and colors than Standard Dynamic Range (SDR) videos.
Zaixi Shang, Joshua Peter Ebenezer
exaly   +3 more sources

Performance Characterization and Tuning of a Charge-Splitting High Dynamic Range 4-Tap CMOS Image Sensor [PDF]

Sensors
Single-exposure high dynamic range (HDR) imaging is critical for applications such as automotive and surveillance cameras, where motion artifacts and light emitting diode (LED) flicker are significant challenges.
Yu Feng, Keiichiro Kagawa, Kamel Mars, Keita Yasutomi, Shoji Kawahito   +4 more
doaj   +2 more sources

High-Radix Taylor-Optimized Tone Mapping Processor for Adaptive 4K HDR Video at 30 FPS [PDF]

Sensors
High Dynamic Range (HDR) imaging is capable of capturing vivid and lifelike visual effects, which are crucial for fields such as computer vision, photography, and medical imaging.
Xianglong Wang, Zhiyong Lai, Lei Chen, Fengwei An   +3 more
doaj   +2 more sources

Blind HDR image quality assessment based on aggregating perception and inference features [PDF]

Scientific Reports
High Dynamic Range (HDR) images, with their expanded range of brightness and color, provide a far more realistic and immersive viewing experience compared to Low Dynamic Range (LDR) images. However, the significant increase in peak luminance and contrast
Donghui Wan, Xiuhua Jiang, Qiangguo Yu
doaj   +2 more sources

HDR-NeRF: High Dynamic Range Neural Radiance Fields

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Accepted to CVPR 2022. Project page: https://xhuangcv.github.io/hdr-nerf/
Xin Huang 0021, Qi Zhang 0029, Ying Feng, Hongdong Li, Xuan Wang 0009, Qing Wang 0006   +5 more
openaire   +2 more sources

HDR Image Reconstruction Using Segmented Image Learning

IEEE Access, 2021
Converting a low dynamic range (LDR) image into a high dynamic range (HDR) image produces an image that closely depicts the real world without requiring expensive devices.
Byeong Dae Lee, Myung Hoon Sunwoo
doaj   +1 more source

Enhanced Steganography for High Dynamic Range Images with Improved Security and Capacity

Applied Sciences, 2023
High-dynamic-range (HDR) images are widely regarded as the ideal format for digital images due to their ability to accurately render a wider range of luminance values.
Tzung-Her Chen, Jing-Ya Yan
doaj   +1 more source

Human Visual System Model-Based Optimized Tone Mapping of High Dynamic Range Images

IEEE Access, 2021
High dynamic range (HDR) image and video technology can provide significant picture quality improvement over the standard dynamic range (SDR). However, when HDR content is represented on an SDR display, dynamic range compression may result in image ...
Nam Hoang Nguyen, Tu Van Vo, Chul Lee
doaj   +1 more source

Extending and Matching a High Dynamic Range Image from a Single Image

Sensors, 2020
Extending the dynamic range can present much richer contrasts and physical information from the traditional low dynamic range (LDR) images. To tackle this, we propose a method to generate a high dynamic range image from a single LDR image. In addition, a
Van Luan Tran, Huei-Yung Lin
doaj   +1 more source

Multi-Exposure Image Compression Considering Rate-Distortion Optimization in Rendered High Dynamic Range Image

IEEE Open Journal of Signal Processing, 2023
High-dynamic range (HDR) images,which provide realistic visual perception, have attracted considerable attention in various applications. A simple method for obtaining HDR images is to fuse multiple low-dynamic range (LDR) images captured under varying ...
Jui-Chiu Chiang, Hung-Yen Shang, Ji-Jin Qiu   +2 more
doaj   +1 more source