Colour to grey scale and related transforms

Lead Research Organisation: University of Bradford
Department Name: Faculty of Life Sciences

Abstract

Every year, millions of poor grey scale reproductions of colour images are made. Through our research we aim to make millions more good grey scale prints.It is now increasingly common to capture images using colour digital cameras and display them on colour monitors or using colour inkjet printers. However, there are still many occasions when colour images are reproduced in grey scale. The use of black and white printers, photocopiers and fax machines is still an every day occurrence. Unfortunately, the conversion of colour images to their grey scale equivalent, either by these devices, or through other means, often results in a poor reproduction of the images. The aim of our research is to develop a method to derive the best possible grey scale reproduction of a colour image, by a careful consideration of the limitations of our own visual system, and by exploiting the underlying physics of colour image formation. Usually, the colour at a given image point is coded by three numbers, and in the grey scale transformation these three numbers are reduced to just one grey value. More generally, colour information might be coded using N (where N>3) numbers, and in this case it is useful to be able to derive methods to reduce these N numbers to 3, or fewer, so that the N-dimensional information recorded can be displayed on conventional imaging technology. We will extend our research to also consider such cases. Our research will lead to the improved reproduction of images on grey scale devices (e.g. improved photocopying and faxing) as well as providing us with the ability to better visualise the information contained in, for example, satellite images. We also expect that it will be possible to exploit the technology we develop to make colour images that can be viewed without error or confusion, by colour-blind observers. In addition, the work will lead to improvements in existing image-processing algorithms, and to a better understanding of how our own visual system perceives colour and brightness information.
 
Description SpectralEdge Image Visualisation
Amount £63,742 (GBP)
Funding ID EP/I028455/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 12/2010 
End 08/2011
 
Description Xerox Corporation 
Organisation Xerox Corporation
Department Xerox Research Center Webster
Country United States 
Sector Private 
PI Contribution Regular phone meetings to inform the partner of progress and new developments. We visited the research partner for 1 week, giving a talk and performing a psychophysical experiment at their facilities.
Collaborator Contribution Guidance and advice throughout the project through regular phone meetings. Facilities to perform a psychophysical experiment.
Impact No specific outcomes are related to this collaboration. The collaboration was not multidisciplinary, but the partners offered a commercial perspective on our research, and applicability in real-life situations.
Start Year 2006
 
Title Image reconstruction method 
Description The technology encompasses a method and system for producing a scalar image from a derivative field. A function class c is selected, where all members of the class c are functions which map each vector of the vector image to a unique scalar value. A function f is selected from the class c which maps the vector image to a scalar image, the derivative of which is closest to the derivative field. The scalar image is generated from the vector image by using f to calculate each scalar value in the scalar image from a corresponding vector in the vector image. 
IP Reference GB0914603 
Protection Patent application published
Year Protection Granted
Licensed Commercial In Confidence
Impact N/A
 
Title METHOD AND SYSTEM FOR GENERATING ACCENTED IMAGE DATA 
Description A method and system for producing accented image data for an accented image is disclosed. The method includes decomposing each of a first and a second image into a gradient representation which comprises spectral and edge components. The first image comprises more spectral dimensions than the second image. The edge component from the first image is combined with the spectral component from the second image to form a combined gradient representation. Accented image data for the accented image is then generated from data including the combined gradient representation. 
IP Reference US2011052029 
Protection Patent granted
Year Protection Granted 2011
Licensed Commercial In Confidence
Impact N/A
 
Company Name Spectral Edge Ltd 
Description Formed in February 2011, Spectral Edge is a spin-out company of the Colour and Vision Group of the School of Computing Sciences at the University of East Anglia in Norwich (United Kingdom). The Group is active in a range of different research areas such as Computational Colour Constancy, Physics based vision, Image Reproduction, Colour Graphics, Image Indexing, Colour scanning, Colour Science, and Computer Vision. Spectral Edge was formed to exploit exciting research into image fusion and colour perception. This technology is provided as embedded software (matlab reference code, production C code, production OpenGL shader code, ...). Our aim is to enable our customers to differentiate their products by enabling the highest possible visual quality. 
Year Established 2011 
Impact July 18th 2014, Visual Clarity for All : Spectral Edge Announces Seed Investment Round Led by the Rainbow Seed Fund and ICENI.
Website http://www.spectraledge.co.uk