Machine Learning and Deep Learning in Image Processing

Dear Colleagues,

Image processing has received great attention in recent decades with the rapid development of image sensors. The goal of image processing is to manipulate the images, such as image enhancement, analysis, restoration, reconstruction, compression, and so on, by using different algorithms. It is of great importance to perform the pre-processing to improve the image quality before further application.

The conventional wavelet-based digital filtering technique method have been widely investigated. Unfortunately, the hand-crafted methods have limited representative ability for complex scenes. In recent decades, the machine learning technique’s sparse representation, low-rank matrix/tensor recovery, and deep convolutional neural network have made tremendous progress in which they have profoundly changed the paradigm of research from a data-driven perspective.

This Special Issue aims to investigate the use of machine learning and deep learning techniques to advance the improvement of image processing, such as image denoising, deblurring, super-resolution dehazing, deraining, and so on. We would like to invite researchers to submit papers on the topic, from all viewpoints, including theoretical issues, algorithms, systems, and industrial applications

Dr. Yi Chang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.