most citedGenerating the Past, Present and Future from a Motion-Blurred Image

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2026

Adaptive Color Grading

Trevor D. Canham, Abhijith Punnappurath, Michael S. Brown

Independent control of tonescale regions (e.g., shadows, highlights) is essential for painters, photographers and cinematographers to bring 2D images to life. In image manipulation…

cs.CV2026

Generating HDR Video from SDR Video

SaiKiran Tedla, Francesco Banterle, Trevor Canham +6

The high dynamic range (HDR) video ecosystem is approaching maturity, but the problem of upconverting legacy standard dynamic range (SDR) videos persists without a convincing solut…

cs.CV2025★ 1 cited

Generating the Past, Present and Future from a Motion-Blurred Image

SaiKiran Tedla, Kelly Zhu, Trevor Canham +4

We seek to answer the question: what can a motion-blurred image reveal about a scene's past, present, and future? Although motion blur obscures image details and degrades visual qu…

cs.CV2025

Towards Imperceptible Watermarking Via Environment Illumination for Consumer Cameras

Hodaka Kawachi, Tomoya Nakamura, Hiroaki Santo +4

This paper introduces a method for using LED-based environmental lighting to produce visually imperceptible watermarks for consumer cameras. Our approach optimizes an LED light sou…

eess.IV2025

Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP

Trevor D. Canham, SaiKiran Tedla, Michael J. Murdoch +1

While most images shared on the web and social media platforms are encoded in standard dynamic range (SDR), many displays now can accommodate high dynamic range (HDR) content. Addi…