36 citations · 164 across the 26 of their papers we have counts for
26 papers
Learning Degradation-Independent Representations for Camera ISP Pipelines
Yanhui Guo, Fangzhou Luo, Xiaolin Wu
Image signal processing (ISP) pipeline plays a fundamental role in digital cameras, which converts raw Bayer sensor data to RGB images. However, ISP-generated images usually suffer…
LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression
Xi Zhang, Xiaolin Wu
Recently, numerous end-to-end optimized image compression neural networks have been developed and proved themselves as leaders in rate-distortion performance. The main strength of…
Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion
Xi Zhang, Xiaolin Wu
Ultra high resolution (UHR) images are almost always downsampled to fit small displays of mobile end devices and upsampled to its original resolution when exhibited on very high-re…
Deep Decoding of -coded Light Field Images
Muhammad Umair Mukati, Xi Zhang, Xiaolin Wu +1
To enrich the functionalities of traditional cameras, light field cameras record both the intensity and direction of light rays, so that images can be rendered with user-defined ca…
Functional Neural Networks for Parametric Image Restoration Problems
Fangzhou Luo, Xiaolin Wu, Yanhui Guo
Almost every single image restoration problem has a closely related parameter, such as the scale factor in super-resolution, the noise level in image denoising, and the quality fac…
Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution
Yanhui Guo, Xiaolin Wu, Xiao Shu
The performance of deep learning based image super-resolution (SR) methods depend on how accurately the paired low and high resolution images for training characterize the sampling…