Search Results for author: Daniel P. K. Lun

Found 7 papers, 2 papers with code

Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis

no code implementations28 Jun 2020 Rui Zhao, Kin-Man Lam, Daniel P. K. Lun

Since most of the content or energy of natural images resides in the low-frequency spectrum, their transformed coefficients in the frequency domain are highly imbalanced.

Image Denoising

Deep Relighting Networks for Image Light Source Manipulation

1 code implementation19 Aug 2020 Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li, Daniel P. K. Lun

Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography.

Image Relighting

Enhancing and Learning Denoiser without Clean Reference

no code implementations9 Sep 2020 Rui Zhao, Daniel P. K. Lun, Kin-Man Lam

Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks.

Image Denoising

Robust Phase Retrieval with Green Noise Binary Masks

no code implementations17 Dec 2020 Qiuliang Ye, Yuk-Hee Chan, Michael G. Somekh, Daniel P. K. Lun

Phase retrieval with pre-defined optical masks can provide extra constraint and thus achieve improved performance.

Retrieval

SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval

1 code implementation23 May 2022 Qiuliang Ye, Li-Wen Wang, Daniel P. K. Lun

With the success of deep learning methods in many image processing tasks, deep learning approaches have also been introduced to the phase retrieval problem recently.

Image Reconstruction Retrieval

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