Dear Colleagues,

Images affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of them have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing systems that can automatically detect and exploit useful information in images.

In recent years there has been a growing interest in the need of using soft computing approaches to solve image processing problems. One of the most challenging issues with this integration is to effectively handle image uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, noisy, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. They result in a lack of the full and precise knowledge of the system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Soft computing techniques, including fuzzy logic, neural networks, evolutionary methods, etc., as alternatives to the existing classical techniques, have shown great potential to solve image processing problems under such conditions.

This Special Issue aims to provide a collection of high quality research articles that address broad challenges in both theoretical and application aspects of soft computing in image processing. We invite colleagues to contribute original research articles, as well as review articles, that will stimulate the continuing effort on the application of soft computing approaches to solve image-processing problems.

Potential topics include, but are not limited to:

The use of computational intelligence techniques such as:

• Neural networks
• Fuzzy logic
• Rough sets
• Evolutionary methods
• Expert system

In/for:

• Coding and compression
• Sampling and interpolation
• Quantization and halftoning
• Quality assessment
• Filtering and enhancement
• Morphology
• Edge detection and segmentation
• Feature extraction
• Indexing and retrieval

Prof. Dr. Erik Cuevas
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.

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. Journal of Imaging 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.

• Soft Computing
• Image processing
• Intelligent image processing
• Artificial Intelligence