To submit manuscripts for consideration in a Special Section, please prepare the manuscript according to the journal guidelines and use the Online Submission System.
FORTHCOMING SPECIAL SECTIONS:
Quality Control by Artificial Vision
Digital Photography
Image Quality
July-September 2010
Quality Control by Artificial Vision
Guest Editors:
Shaun S. Gleason
Oak Ridge National Laboratory
Image Science & Machine Vision
Box 2008, MS 6075
Oak Ridge, Tenessee, 37831-6075
Tel: 865-574-8521
Fax: 865-576-8993
E-mail: gleasonss@ornl.gov
Kurt S. Niel
Upper Austria University of Applied Sciences
Engineering and Environmental Studies
Stelzhamerstr. 23
4600 Wels
Austria
Tel: +43 7242 72811 3430
Fax: +43 7242 72811 93430
E-mail: kurt.niel@fh-wels.at
Edmund Lam
University of Hong Kong
Electrical and Electronic Engineering
Pokfulam Road
Hong Kong
Tel: +852 2241 5942
Fax: +852 2559 8738
E-mail: elam@eee.hku.hk
Call for Papers: Over the past two decades, machine (artificial) vision systems have effectively automated many manual tasks whose goals may be achieved by the analysis and interpretation of visual data. As a result, such tasks are performed more rapidly and with much higher degrees of accuracy, precision, and repeatability. The rapid proliferation of machine vision systems is a direct result of the tremendous advances that have been made in the research and development of 1) smart image acquisition subsystems, 2) sophisticated image processing algorithms, 3) adaptive pattern analysis and interpretation techniques, and 4) fast, efficient, and cost-effective data processing software and hardware. As the advancements in each of these areas continue, the application domain of machine vision systems grows, giving rise to new opportunities and challenges.
This special section of the Journal of Electronic Imaging provides a forum for university, government laboratory, and industrial researchers to present and discuss innovative concepts, methods, and systems for advancing the state of the art in any or all of the aforementioned areas. High-quality papers are invited that describe novel theoretical, experimental, and applied work in imaging modalities, image processing and pattern recognition algorithms, and data processing software and hardware that comprise machine vision systems of tomorrow. Original papers are solicited from, but not limited to, the following topical areas:
- Image acquisition subsystems, including illumination sources, sensor networks, smart sensors, and new imaging modalities
- Image processing methods, including preprocessing, detection, segmentation, and metrology
- Pattern recognition strategies for subject and/or anomaly classification Image data mining and content-based retrieval for process characterization
- Quantitative strategies for algorithm performance evaluation
- Data processing software and hardware, including implementation schemes on dedicated hardware and embedded systems
There are numerous industries that benefit from machine vision systems today. Papers are encouraged from a broad range of industrial settings from agriculture, textiles, metals, and semiconductors to biomedical and pharmaceuticals. It is anticipated that a sharing of current methods and technologies related to quality control across broad industry sectors will facilitate interactions between these various groups who do not regularly communicate.
Closed for submissions.
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April-June 2010
Digital Photography
Guest Editors:
Peter B. Catrysse
Stanford University
450 Via Palou Mall
Stanford, California 94305-4014
Tel: 650-723-0204
Fax: 650-723-0993
E-mail: pcatryss@stanford.edu
Sabine Süsstrunk
Ecole Polytechnique Fédérale de Lausanne (EPFL)
School of Computer and Communication Sciences (IC)
Audiovisual Communications Laboratory (LCAV)
Station 14
1015 Lausanne
Switzerland
Tel: +41216936664
Fax: +41216934312
E-mail: sabine.susstrunk@epfl.ch
Call for Papers: Digital photography is experiencing explosive growth both in the consumer and professional markets. Digital camera sales have exceeded multiuse film camera sales for several years, and since 2004, cell-phone camera sales exceeded both digital and film camera sales combined. In 2007, more than one billion digital cameras were sold. In addition to the sheer volume of digital photography systems for consumer and professional use, digital photography also offers unique opportunities and challenges.
This special issue will highlight state-of-the art research in component technologies, optical systems, and image processing techniques that address these opportunities and challenges. We are soliciting papers from researchers, scientists, and engineers that describe recent advances in digital and computational photography and all its relevant areas, including capture, processing, color, compression, transmission, and applications. We are particularly interested in contributions on the following topics:
- Image sensor advancements including pixel, filter, and microlens architectures.
- Sensor, lens, and system characterization including optical and electrical properties.
- Image processing algorithms for cameras, including autofocus and autoexposure, illuminant estimation and correction, denoising, sharpening, demosaicing, and compression.
- Camera rendering algorithms including tone and color correction, and image enhancement.
- Computational photography including architectures for plenoptic, panoramic, and high-dynamic range cameras, multicamera arrays, and novel imaging optics, as well as the algorithms and techniques used in generating image composites.
- Compressive sensing for imaging applications including hardware architectures and associated signal and image processing.
- Mobile imaging for cell-phones, personal digital assistants, and web cameras including power, size, processing issues, imaging standards, and imaging applications.
- Image quality metrics and evaluations, specifically targeted to digital photography.
Closed for submissions.
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January-March 2010
Image Quality
Guest Editors:
Susan Farnand
Rochester Institute of Technology
54 Lomb Memorial Drive
Rochester, New York 14623-5603
Tel: 585-475-4567
Fax: 585-726-3935
E-mail:
farnand@cis.rit.eduFrans GaykemaOcé Technologies BV
St. Urbanusweg 43
5914 CA Venlo, The Netherlands
Tel: +31(0)773593417
Fax: +31(0)773595472
frans.gaykema@oce.comCall for Papers: We live in a visual world where images have tremendous power. They can efficiently convey information, trigger emotion, and entertain. Because of this power, imaging systems have been developed to serve many applications from marketing to security, from medicine to entertainment. Traditional imaging systems evolve and create opportunities for new applications. Traditional printing goes digital. Traditional display technology goes 3-D. Image capture is everywhere anytime with integration in mobile phones. The power of images rests directly on the quality of the images and the systems that produce them.
This special section will focus on recent research by industrial and academic engineers and scientists who strive to understand what makes a quality image and how to assess the requirements and performance of modern imaging systems. Studies involving applications throughout the imaging chain including image capture, processing, and output, whether print or display, are of interest. The section will be a selection of papers describing recent work in the following areas and related areas:
Characterization and measurement of image quality attributes
- advances in perceptual image quality understanding
- color and spatial attribute characterization and metrics
- interactions between, or integration of, visual attributes
- image defect perception, classification, and simulation
- tools and instrumentation to quantify visual attributes
- digital versus analog techniques
Subjective image quality evaluation
- psychophysical scaling, modeling, and metrics
- preference measurement and modeling
- image quality survey design and analysis (traditional or web-based)
- vision-based modeling of image quality perception
Image quality evaluation for emerging technologies
- readability of electronic paper, mobile display, and signage
- image quality analysis of viewing experiences for head-mounted displays, 3-D displays, gaming, and digital cinema
- image quality evaluation for capture devices in mobile phones
- image quality evaluation for usability (e.g., medical imaging, automotive vision, and remote sensing)
- metrics for imaging device performance
System performance measurement and modeling
- linking perceptual image quality to system performance parameters
- extraction of image quality measures from digital images
- technology-dependent characterization (banding, streaking, defective pixels, etc.)
- image noise analysis and color error propagation
- methods for system performance benchmarking
- balancing image quality against cost, features, and reliability
- statistical methods for system performance specification
Authors are to submit manuscripts online. Please visit the journal website (http://spie.org/jei) for information on how to prepare and submit papers to JEI. A cover letter indicating that the manuscript is intended for this special section should be included with the submission.
Closed for submissions.
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