Contrast‐Enhanced Black and White Images. (15th October 2015)

• Record Type: Journal Article
• Authors: Li, Hua; Mould, David
• Is Part Of: Computer graphics forum. Volume 34:Number 7(2015)
• Page Start: 319
• Page End: 328
• Publication Date: 2015-10-15
• Subjects: Categories and Subject Descriptors (according to ACM CCS) -- I.3.3 [Computer Graphics]: Picture/Image Generation—Line and curve generation; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12770
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: This paper investigates contrast enhancement as an approach to tone reduction, aiming to convert a photograph to black and white. Using a filter‐based approach to strengthen contrast, we avoid making a hard decision about how to assign tones to segmented regions. Our method is inspired by sticks filtering, used to enhance medical images but not previously used in non‐photorealistic rendering. We amplify contrast of pixels along the direction of greatest local difference from the mean, strengthening even weak features if they are most prominent. A final thresholding step converts the contrast‐enhanced image to black and white. Local smoothing and contrast enhancement balances abstraction and structure preservation; the main advantage of our method is its faithful depiction of image detail. Our method can create a set of effects: line drawing, hatching, and black and white, all having superior details to previous black and white methods.