Local Gray Component Replacement Using Image Analysis
In this work, we propose a novel, context sensitive and spatially variant GCR method, which yields ink consumption figures that are similar to an aggressive GCR, but in contrast produces perfectly acceptable print quality results. Our approach is based on the visual masking effect: image areas with high activity level, such as high contrast textures, mask the increased graininess, and other inaccuracies such as (small) color shifts. Therefore, we propose to dynamically vary the amount of gray replacement across the image as a function of the local “activity” of the image. In lighter, smoother regions, less aggressive GCR is applied, and the image quality is preserved, while in more active regions where the change is not visible, more aggressive GCR is applied.
The performance of the proposed method is tested on images randomly chosen from several photo collections. The initial results indicate about 15% reduction in overall ink consumption with perfectly acceptable print quality.
Document Type: Research Article
Publication date: January 1, 2011
CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.
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