The first mobile camera phone was sold only 20 years ago, when taking pictures with one's
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …

Tone‐map** constitutes a key component within the field of high dynamic range (HDR)
imaging. Its importance is manifested in the vast amount of tone‐map** methods that can …

The performance of video prediction has been greatly boosted by advanced deep neural
networks. However, most of the current methods suffer from large model sizes and require …

Various images captured in complicated lighting conditions often suffer from deterioration of
the image quality. Such poor quality not only dissatisfies the user expectation but also may …

Convolutional neural networks have recently demonstrated high-quality reconstruction for
single-image super-resolution. In this paper, we propose the Laplacian Pyramid Super …

Convolutional neural networks have recently demonstrated high-quality reconstruction for
single image super-resolution. However, existing methods often require a large number of …

Abstract Machine learning techniques work best when the data used for training resembles
the data used for evaluation. This holds true for learned single-image denoising algorithms …

Noise causes unpleasant visual effects in low-light image/video enhancement. In this paper,
we aim to make the enhancement model and method aware of noise in the whole process …

Efficient and light-weight super resolution (SR) is highly demanded in practical applications.
However, most of the existing studies focusing on reducing the number of model parameters …

Performance is a critical challenge in mobile image processing. Given a reference imaging
pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements …