RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging

no code implementations • 19 Apr 2021 • Chao-Tsung Huang

On top of that, we further devise a novel ring algebra which minimizes complexity with component-wise product and achieves the best quality using directional ReLU.

4k Denoising +1

eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference

no code implementations • 13 Oct 2019 • Chao-Tsung Huang, Yu-Chun Ding, Huan-Ching Wang, Chi-Wen Weng, Kai-Ping Lin, Li-Wei Wang, Li-De Chen

In this paper, we approach this goal by considering the inference flow, network model, instruction set, and processor design jointly to optimize hardware performance and image quality.

4k Denoising +3

ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference

no code implementations • 13 Oct 2019 • Chao-Tsung Huang

Convolutional neural networks (CNNs) demand huge DRAM bandwidth for computational imaging tasks, and block-based processing has recently been applied to greatly reduce the bandwidth.

4k Image Denoising +2

Robust Pseudo Random Fields for Light-Field Stereo Matching

no code implementations • ICCV 2017 • Chao-Tsung Huang

We also devise an algorithm to employ this framework on dense, sparse, and even denoised light fields.

Depth Estimation Stereo Matching +1

Bayesian Inference for Neighborhood Filters With Application in Denoising

no code implementations • CVPR 2015 • Chao-Tsung Huang

Range-weighted neighborhood filters are useful and popular for their edge-preserving property and simplicity, but they are originally proposed as intuitive tools.

Bayesian Inference Color Image Denoising +1