48 citations · 92 across the 14 of their papers we have counts for
15 papers
DRIFT: Deep Restoration, ISP Fusion, and Tone-mapping
Soumendu Majee, Joshua Peter Ebenezer, Abhinau K. Venkataramanan +6
Smartphone cameras have gained immense popularity with the adoption of high-resolution and high-dynamic range imaging. As a result, high-performance camera Image Signal Processors…
GenMFSR: Generative Multi-Frame Image Restoration and Super-Resolution
Harshana Weligampola, Joshua Peter Ebenezer, Weidi Liu +4
Camera pipelines receive raw Bayer-format frames that need to be denoised, demosaiced, and often super-resolved. Multiple frames are captured to utilize natural hand tremors and en…
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling
Fadeel Sher Khan, Joshua Ebenezer, Hamid Sheikh +1
Smartphone cameras have become ubiquitous imaging tools, yet their small sensors and compact optics often limit spatial resolution and introduce distortions. Combining information…
HDR or SDR? A Subjective and Objective Study of Scaled and Compressed Videos
Joshua P. Ebenezer, Zaixi Shang, Yixu Chen +4
We conducted a large-scale study of human perceptual quality judgments of High Dynamic Range (HDR) and Standard Dynamic Range (SDR) videos subjected to scaling and compression leve…
HDR-ChipQA: No-Reference Quality Assessment on High Dynamic Range Videos
Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu +3
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 w…
Making Video Quality Assessment Models Robust to Bit Depth
Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu +3
We introduce a novel feature set, which we call HDRMAX features, that when included into Video Quality Assessment (VQA) algorithms designed for Standard Dynamic Range (SDR) videos,…