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 …

Image Deblurring is a very popular area of research in all over the world. It is an illposed
problem which still does not have an ideal solution. Therefore, in order to analyse the …

In smartphones and compact cameras, the Image Signal Processor (ISP) transforms the
RAW sensor image into a human-readable sRGB image. Most popular super-resolution …

Motivated by their great potential to reduce the size, cost, and weight, flat lenses, a category
that includes diffractive lenses and metalenses, are rapidly emerging as key components …

We present a highly efficient blind restoration method to remove mild blur in natural images.
Contrary to the mainstream, we focus on removing slight blur that is often present, damaging …

In smartphones and mobile camera devices the Image Signal Processor (ISP) is applied to
reconstruct the RAW image into a sRGB image for human reading by a series of signal …

Blind image deblurring has been a challenging issue due to the unknown blur and
computation problem. Recently, the matrix-variable optimization method successfully …

图像盲复原旨在无参考的情况下准确估计模糊核并恢复潜在的清晰图像. 现有研究成果表明,
利用全变分模型对高阶图像梯度先验约束进行描述可以有效抑制复原图像中产生的阶梯效应 …

Most of these frequency-based deblurring methods mainly have two major limitations:(1)
insufficient exploitation of frequency information,(2) inadequate preservation of frequency …

This work addresses the problem of non-blind image deblurring for arbitrary input noise. The
problem arises in the context of sensors with strong chromatic aberrations, as well as in …