Machine Learning and Deep Learning in Image Processing
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 2546
Special Issue Editor
Interests: image enhancement; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- image restoration
- image analysis
- deep learning
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