Generating Color Scribble Images using Multi‐layered Monochromatic Strokes Dithering. (7th June 2019)

• Record Type: Journal Article
• Authors: Lo, Yi‐Hsiang; Lee, Ruen‐Rone; Chu, Hung‐Kuo
• Is Part Of: Computer graphics forum. Volume 38:Number 2(2019)
• Page Start: 265
• Page End: 276
• Publication Date: 2019-06-07
• Subjects: CCS Concepts -- Computing methodologies → Non‐photorealistic rendering; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.13636
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: Color scribbling is a unique form of illustration where artists use compact, overlapping, and monochromatic scribbles at microscopic scale to create astonishing colorful images at macroscopic scale. The creation process is skill‐demanded and time‐consuming, which typically involves drawing monochromatic scribbles layer‐by‐layer to depict true‐color subjects using a limited color palette delicately. In this work, we present a novel computational framework for automatic generation of color scribble images from arbitrary raster images. The core contribution of our work lies in a novel color dithering model tailor‐made for synthesizing a smooth color appearance using multiple layers of overlapped monochromatic strokes. Specifically, our system reconstructs the appearance of the input image by (i) generating layers of monochromatic scribbles based on a limited color palette derived from input image, and (ii) optimizing the drawing sequence among layers to minimize the visual color dissimilarity between dithered image and original image as well as the color banding artifacts. We demonstrate the effectiveness and robustness of our algorithm with various convincing results synthesized from a variety of input images with different stroke patterns. The experimental study further shows that our approach faithfully captures the scribble style and the color presentation at respectively microscopic and macroscopic scales, which is otherwise difficult for state‐of‐the‐art methods.