浙江大学2018年彩色图像科学国际大师论坛

论坛主讲

浙江大学彩色图像科学国际大师论坛

2018年10月22日星期一 09：30-12：00

第三教学大楼301室

讲座1：现今与未来的相机图像处理流程

主讲人：Prof. Graham Finlayson

英国东英吉利亚大学计算学科学

讲座2：在移动设备上的色域挑战

主讲人：Prof. Phil Green

挪威科技大学计算机科学

讲座3：在手机相机和手机系统中的色彩转换

主讲人：Dr. Huanzhao Zeng

Google 资深颜色科学家

浙江大学光电科学与工程学院颜色工程实验室

联系人：Dacey Deng

Tel: 0571 87952225 & Email: denxiqing@126.com

Topic 1

现今与未来的相机图像处理流程

主讲人：Prof. Graham Finlayson

英国东英吉利亚大学计算学科学

In today’s cameras, the transformation from the input image recorded on a camera sensor to the output picture is driven by the twin goals of first, representing in a physically plausible way the scene and second, producing a ‘good looking’ image. In this talk I will discuss specific contributions we have made in the Colour & Imaging Lab at the University of East Anglia to camera processing pipelines including, the development of leading algorithms for white-balance, tonality and colour correction.

The pictures taken by tomorrow’s cameras will capture both what we ourselves saw but will also convey information that is invisible to the naked eye. As an example, pictures of scenes at distance or through haze often lack detail and yet the near-infra red images of the same scene are vivid and detail rich. Fusing this detail back into the RGB image image – using algorithms I will review - can produce preferred looking photographs.

BIO：

Graham Finlayson is a Professor of Computer Science at the University of East Anglia. He is interested in taking the creative spark of an idea, developing the underlying theory and algorithms and then implementing and commercializing the technology. Graham's IP ships in 100s of millions of products.

In 2002, Graham was awarded the Philip Leverhulme prize for science and in 2008 a Royal Society-Wolfson Merit award. In 2009 the Royal Photographic Society presented graham with the Davies medal in recognition of his contributions to the Photographic Industry. The RPS made Graham a fellow in 2012. In recognition of distinguished service to the Society for Imaging Science and Technology, Graham was elected a fellow of that society in 2010. In January 2013 Graham was also elected to a fellowship of the Institute of Engineering Technology. In 2018 he was awarded an Innovation Fellowship by the University of East Anglia.

Topic 2

在移动设备上的色域挑战

主讲人：Prof. Phil Green

挪威科技大学计算机科学

Today most content for mobile displays is prepared for an sRGB colour gamut. Current mobile display technologies often have a significantly larger gamut, and the display manufacturer often performs a proprietary re-rendering from sRGB to the actual gamut of the display.

This talk reviews some of the challenges in defining the gamut of a mobile device and rendering from different gamut encodings. Amongst the issues that need to be considered are the dependence of the gamut on the viewing condition and the user adaptation state. Some solutions are discussed, including the use of the iccMAX colour management architecture.

BIO:

Phil Green is Professor of Colour Imaging at the Colour and Visual Computing Laboratory, Norwegian University of Science and technology (NTNU), Norway. He supervises PhD and Master students and teaches courses on Colour Science, Cross-Media Colour Reproduction, Advanced Colour Management, Colour in Medical Imaging, and Colour in Interaction Design.

He is also Technical Secretary of the International Color Consortium, the body that standardizes the ICC profile format and promotes colour management internationally.

Dr. Green received an MSc from the University of Surrey in 1995, and a PhD from the former Colour & Imaging Institute, University of Derby, UK in 2003. From 1986 to 2012 he worked at London College of Communication, UK, most recently as Head of Research. His research interests are around cross-media colour reproduction, and include characterization, appearance, metrology, image quality and colour difference.

Topic 3

在手机相机和手机系统中的色彩转换

主讲人：Dr. Huanzhao Zeng

Google 资深颜色科学家

The lecture will introduce color reproduction, tone transformation, and color management in mobile phones. Historically, consumer digital cameras were designed to mostly produce sRGB images, and the tone reproduction was limited to low dynamic range (LDR). The trend has been gradually changed. The tone transformation has been gradually increased from LDR to nowadays capable of reproducing high dynamic range (HDR) tones. The broader color management support in mobile phones has enabled phone cameras to capture photos beyond the sRGB gamut. In this talk, we’ll discuss how these technology advancements reshape the capability of mobile phone cameras.

BIO:

Huanzhao Zeng is a senior color imaging scientist at Google since 2015. Before that, he was a senior color imaging scientist at Qualcomm for 4 years and a principal color imaging engineer at Hewlett-Packard Company for 12 years. He developed color imaging technologies for mobile phone cameras, displays, scanners, printers, copiers, and color imaging software. He received his Ph.D. degree in Colour Science from University of Leeds, and M.S. degree in Imaging Science from Rochester Institute of Technology.