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We present a novel approach to reference-based super-resolution (RefSR) with the focus on dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and high-fidelity results. Our proposed method generalizes the…

Computer Vision and Pattern Recognition · Computer Science 2021-09-07 Tengfei Wang , Jiaxin Xie , Wenxiu Sun , Qiong Yan , Qifeng Chen

Despite a rapid rise in the quality of built-in smartphone cameras, their physical limitations - small sensor size, compact lenses and the lack of specific hardware, - impede them to achieve the quality results of DSLR cameras. In this work…

Computer Vision and Pattern Recognition · Computer Science 2017-09-07 Andrey Ignatov , Nikolay Kobyshev , Radu Timofte , Kenneth Vanhoey , Luc Van Gool

Event cameras are emerging imaging technology that offers advantages over conventional frame-based imaging sensors in dynamic range and sensing speed. Complementing the rich texture and color perception of traditional image frames, the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Peiqi Duan , Boyu Li , Yixin Yang , Hanyue Lou , Minggui Teng , Yi Ma , Boxin Shi

With the developments of dual-lens camera modules,depth information representing the third dimension of thecaptured scenes becomes available for smartphones. It isestimated by stereo matching algorithms, taking as input thetwo views…

Computer Vision and Pattern Recognition · Computer Science 2018-09-27 Ruichao Xiao , Wenxiu Sun , Jiahao Pang , Qiong Yan , Jimmy Ren

High dynamic range (HDR) imaging under extreme illumination remains challenging for conventional cameras due to overexposure. Event cameras provide microsecond temporal resolution and high dynamic range, while spatially varying exposure…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Pengju Sun , Banglei Guan , Jing Tao , Zhenbao Yu , Xuanyu Bai , Yang Shang , Qifeng Yu

Most learning-based super-resolution (SR) methods aim to recover high-resolution (HR) image from a given low-resolution (LR) image via learning on LR-HR image pairs. The SR methods learned on synthetic data do not perform well in…

Image and Video Processing · Electrical Eng. & Systems 2020-01-09 Dong Gong , Wei Sun , Qinfeng Shi , Anton van den Hengel , Yanning Zhang

Taking photographs in low light using a mobile phone is challenging and rarely produces pleasing results. Aside from the physical limits imposed by read noise and photon shot noise, these cameras are typically handheld, have small apertures…

Computer Vision and Pattern Recognition · Computer Science 2019-10-28 Orly Liba , Kiran Murthy , Yun-Ta Tsai , Tim Brooks , Tianfan Xue , Nikhil Karnad , Qiurui He , Jonathan T. Barron , Dillon Sharlet , Ryan Geiss , Samuel W. Hasinoff , Yael Pritch , Marc Levoy

Hyperspectral reconstruction (HSR) from RGB images is a highly promising direction for accurate color reproduction and material color measurement. While most existing approaches rely on a single RGB image - thereby limiting reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Daniil Reutsky , Daniil Vladimirov , Yasin Mamedov , Georgy Perevozchikov , Nancy Mehta , Egor Ershov , Radu Timofte

This paper proposes a novel pseudo multi-exposure image fusion method based on a single image. Multi-exposure image fusion is used to produce images without saturation regions, by using photos with different exposures. However, it is…

Computer Vision and Pattern Recognition · Computer Science 2018-11-14 Yuma Kinoshita , Sayaka Shiota , Hitoshi Kiya

Photographing scenes with high dynamic range (HDR) poses great challenges to consumer cameras with their limited sensor bit depth. To address this, Zhao et al. recently proposed a novel sensor concept - the modulo camera - which captures…

Computer Vision and Pattern Recognition · Computer Science 2017-07-06 Florian Lang , Tobias Plötz , Stefan Roth

Photographs captured by smartphones and mid-range cameras have limited spatial resolution and dynamic range, with noisy response in underexposed regions and color artefacts in saturated areas. This paper introduces the first approach (to…

Computer Vision and Pattern Recognition · Computer Science 2022-08-01 Bruno Lecouat , Thomas Eboli , Jean Ponce , Julien Mairal

Multi-focus image fusion is a technique for obtaining an all-in-focus image in which all objects are in focus to extend the limited depth of field (DoF) of an imaging system. Different from traditional RGB-based methods, this paper presents…

Computer Vision and Pattern Recognition · Computer Science 2018-06-06 Hang Liu , Hengyu Li , Jun Luo , Shaorong Xie , Yu Sun

Object detection precision is crucial for ensuring the safety and efficacy of autonomous driving systems. The quality of acquired images directly influences the ability of autonomous driving systems to correctly recognize and respond to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-17 Kebin Contreras , Brayan Monroy , Jorge Bacca

Image Super-Resolution (SR) provides a promising technique to enhance the image quality of low-resolution optical sensors, facilitating better-performing target detection and autonomous navigation in a wide range of robotics applications.…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Fan Wang , Jiangxin Yang , Yanlong Cao , Yanpeng Cao , Michael Ying Yang

Light field cameras have many advantages over traditional cameras, as they allow the user to change various camera settings after capture. However, capturing light fields requires a huge bandwidth to record the data: a modern light field…

Computer Vision and Pattern Recognition · Computer Science 2017-05-09 Ting-Chun Wang , Jun-Yan Zhu , Nima Khademi Kalantari , Alexei A. Efros , Ravi Ramamoorthi

Capturing and reconstructing high-speed dynamic 3D scenes has numerous applications in computer graphics, vision, and interdisciplinary fields such as robotics, aerodynamics, and evolutionary biology. However, achieving this using a single…

Computer Vision and Pattern Recognition · Computer Science 2025-02-10 Zihao Zou , Ziyuan Qu , Xi Peng , Vivek Boominathan , Adithya Pediredla , Praneeth Chakravarthula

Full Duplex (FD) communication can revolutionize wireless communications as it avoids using independent channels for bi-directional communications. This work generalizes the point-to-point FD communication in millimeter wave (mmWave) band…

Information Theory · Computer Science 2022-01-06 Chandan Kumar Sheemar , Dirk Slock

Modern smartphones can continuously stream multi-megapixel RGB images at 60Hz, synchronized with high-quality 3D pose information and low-resolution LiDAR-driven depth estimates. During a snapshot photograph, the natural unsteadiness of the…

Computer Vision and Pattern Recognition · Computer Science 2022-04-01 Ilya Chugunov , Yuxuan Zhang , Zhihao Xia , Xuaner , Zhang , Jiawen Chen , Felix Heide

We assess the accuracy of a smartphone camera simulation. The simulation is an end-to-end analysis that begins with a physical description of a high dynamic range 3D scene and includes a specification of the optics and the image sensor. The…

Image and Video Processing · Electrical Eng. & Systems 2022-01-31 Zheng Lyu , Thomas Goossens , Brian Wandell , Joyce Farrell

This paper shows that when applying machine learning to digital zoom for photography, it is beneficial to use real, RAW sensor data for training. Existing learning-based super-resolution methods do not use real sensor data, instead…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Xuaner Cecilia Zhang , Qifeng Chen , Ren Ng , Vladlen Koltun