Search Results for author: Xiaolin Wu

Found 34 papers, 2 papers with code

FLLIC: Functionally Lossless Image Compression

no code implementations24 Jan 2024 Xi Zhang, Xiaolin Wu

Recently, DNN models for lossless image coding have surpassed their traditional counterparts in compression performance, reducing the bit rate by about ten percent for natural color images.

Denoising Image Compression

Learning Degradation-Independent Representations for Camera ISP Pipelines

no code implementations3 Jul 2023 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.

Demosaicking Domain Generalization +5

LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression

no code implementations CVPR 2023 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.

Image Compression Quantization

Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion

no code implementations13 Feb 2023 Xi Zhang, Xiaolin Wu

In the ADDL compression system, an image is reduced in resolution by learned content-adaptive downsampling kernels and compressed to form a coded base layer.

Image Compression

Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression

1 code implementation11 Sep 2022 Yuanchao Bai, Xianming Liu, Kai Wang, Xiangyang Ji, Xiaolin Wu, Wen Gao

In the lossless mode, the DLPR coding system first performs lossy compression and then lossless coding of residuals.

Image Compression

Deep Decoding of $\ell_\infty$-coded Light Field Images

no code implementations24 Jan 2022 Muhammad Umair Mukati, Xi Zhang, Xiaolin Wu, Søren Forchhammer

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 camera parameters via computations.

Image Compression

Functional Neural Networks for Parametric Image Restoration Problems

no code implementations NeurIPS 2021 Fangzhou Luo, Xiaolin Wu, Yanhui Guo

In this work, we propose a novel system called functional neural network (FuncNet) to solve a parametric image restoration problem with a single model.

Image Denoising Image Restoration +1

Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution

no code implementations5 Aug 2021 Yanhui Guo, Xiaolin Wu, Xiao Shu

The resulting LR$\sim$HR image pairs can be aligned at very high sub-pixel precision by a novel spatial-frequency dual-domain registration method, and hence they provide more appropriate training data for the learning task of super-resolution.

Image Super-Resolution

Multi-modality Deep Restoration of Extremely Compressed Face Videos

no code implementations5 Jul 2021 Xi Zhang, Xiaolin Wu

Arguably the most common and salient object in daily video communications is the talking head, as encountered in social media, virtual classrooms, teleconferences, news broadcasting, talk shows, etc.

Quantization

Light Pollution Reduction in Nighttime Photography

no code implementations18 Jun 2021 Chang Liu, Xiaolin Wu

Nighttime photographers are often troubled by light pollution of unwanted artificial lights.

On Numerosity of Deep Neural Networks

no code implementations NeurIPS 2020 Xi Zhang, Xiaolin Wu

With the above critique we ask the question what if a deep convolutional neural network is carefully trained for numerosity?

Object Recognition

Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

no code implementations2 Aug 2020 Yanhui Guo, Xi Zhang, Xiaolin Wu

We propose a novel deep multi-modality neural network for restoring very low bit rate videos of talking heads.

Quantization Video Compression +1

Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding

no code implementations10 Feb 2020 Xi Zhang, Xiaolin Wu

We make a major progress in $\ell_\infty$-constrained image coding after two decades, by developing a novel CNN-based soft $\ell_\infty$-constrained decoding method.

Image Compression

Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction

no code implementations28 Jan 2020 Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

We present a CNN-based predictive lossless compression scheme for raw color mosaic images of digital cameras.

Deblurring Image Restoration

Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques

no code implementations21 Jan 2020 Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

We have shown that the proposed method can recover fine details of the images and it is stable in the training process.

Image Super-Resolution

Challenge of Spatial Cognition for Deep Learning

no code implementations30 Jul 2019 Xi Zhang, Xiaolin Wu, Jun Du

Given the success of the deep convolutional neural networks (DCNNs) in applications of visual recognition and classification, it would be tantalizing to test if DCNNs can also learn spatial concepts, such as straightness, convexity, left/right, front/back, relative size, aspect ratio, polygons, etc., from varied visual examples of these concepts that are simple and yet vital for spatial reasoning.

Filter Bank Regularization of Convolutional Neural Networks

no code implementations25 Jul 2019 Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

Regularization techniques are widely used to improve the generality, robustness, and efficiency of deep convolutional neural networks (DCNNs).

Object Recognition

Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN

no code implementations ICLR 2019 Fangzhou Luo, Xiaolin Wu

We propose a general method for various image restoration problems, such as denoising, deblurring, super-resolution and inpainting.

Deblurring Denoising +4

Deep Learning with Inaccurate Training Data for Image Restoration

no code implementations18 Nov 2018 Bolin Liu, Xiao Shu, Xiaolin Wu

In many applications of deep learning, particularly those in image restoration, it is either very difficult, prohibitively expensive, or outright impossible to obtain paired training data precisely as in the real world.

Image Restoration

Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding

no code implementations30 Oct 2018 Xi Zhang, Xiaolin Wu

Deep convolutional neural networks (DCNN) have enjoyed great successes in many signal processing applications because they can learn complex, non-linear causal relationships from input to output.

regression

Demoiréing of Camera-Captured Screen Images Using Deep Convolutional Neural Network

no code implementations11 Apr 2018 Bolin Liu, Xiao Shu, Xiaolin Wu

Taking photos of optoelectronic displays is a direct and spontaneous way of transferring data and keeping records, which is widely practiced.

Learning-Based Dequantization For Image Restoration Against Extremely Poor Illumination

no code implementations5 Mar 2018 Chang Liu, Xiaolin Wu, Xiao Shu

All existing image enhancement methods, such as HDR tone mapping, cannot recover A/D quantization losses due to insufficient or excessive lighting, (underflow and overflow problems).

Image Enhancement Image Restoration +2

Cognitive Deficit of Deep Learning in Numerosity

no code implementations9 Feb 2018 Xiaolin Wu, Xi Zhang, Xiao Shu

Subitizing, or the sense of small natural numbers, is an innate cognitive function of humans and primates; it responds to visual stimuli prior to the development of any symbolic skills, language or arithmetic.

Single Image Reflection Removal Using Deep Encoder-Decoder Network

3 code implementations31 Jan 2018 Zhixiang Chi, Xiaolin Wu, Xiao Shu, Jinjin Gu

Image of a scene captured through a piece of transparent and reflective material, such as glass, is often spoiled by a superimposed layer of reflection image.

Reflection Removal

Fast Screening Algorithm for Rotation and Scale Invariant Template Matching

no code implementations18 Jul 2017 Bolin Liu, Xiao Shu, Xiaolin Wu

This paper presents a generic pre-processor for expediting conventional template matching techniques.

Computational Efficiency Template Matching

Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)

no code implementations13 Nov 2016 Xiaolin Wu, Xi Zhang

In November 2016 we submitted to arXiv our paper "Automated Inference on Criminality Using Face Images".

BIG-bench Machine Learning

Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images

no code implementations7 Jul 2016 Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao

In this paper, we combine three image priors---Laplacian prior for DCT coefficients, sparsity prior and graph-signal smoothness prior for image patches---to construct an efficient JPEG soft decoding algorithm.

Clustering Image Reconstruction +1

Quality Adaptive Low-Rank Based JPEG Decoding with Applications

no code implementations6 Jan 2016 Xiao Shu, Xiaolin Wu

Small compression noises, despite being transparent to human eyes, can adversely affect the results of many image restoration processes, if left unaccounted for.

Deblurring Image Restoration +1

Video Restoration Against Yin-Yang Phasing

no code implementations ICCV 2015 Xiaolin Wu, Zhenhao Li, Xiaowei Deng

A common video degradation problem, which is largely untreated in literature, is what we call Yin-Yang Phasing (YYP).

Tone Mapping Video Restoration

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