Convolutional neural networks (CNN) are widely used in computer vision and medical
image analysis as the state-of-the-art technique. In CNN, pooling layers are included mainly …

The convolutional neural network architecture has different components like convolution and
pooling. The pooling is crucial component placed after the convolution layer. It plays a vital …

Retinex theory is developed mainly to decompose an image into the illumination and
reflectance components by analyzing local image derivatives. In this theory, larger …

Tiancheng Sun , Jonathan T. Barron , Yun-Ta Tsai , Zexiang Xu , Xueming Yu , Graham Fyffe ,
Christoph Rhemann , Jay Busch , Paul Page 1 Single Image Portrait Relighting Tiancheng …

Retouching can significantly elevate the visual appeal of photos, but many casual
photographers lack the expertise to do this well. To address this problem, previous works …

As the popularity of mobile photography is growing constantly, lots of efforts are being
invested now into building complex hand-crafted camera ISP solutions. In this work, we …

We introduce a deep learning approach to realistically edit an sRGB image's white balance.
Cameras capture sensor images that are rendered by their integrated signal processor (ISP) …

This paper focuses on correcting a camera image that has been improperly white-balanced.
This situation occurs when a camera's auto white balance fails or when the wrong manual …

There is active research targeting local image manipulations that can fool deep neural
networks (DNNs) into producing incorrect results. This paper examines a type of global …

Increasing the visibility of nighttime hazy images is challenging because of uneven
illumination from active artificial light sources and haze absorbing/scattering. The absence of …