Contrast-Enhanced Black and White Images

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.

Scale-aware black-and-white abstraction of 3D shapes

“…Their approach of abstracting image elements formed by lines and blocks is similar to ours, but they try to preserve information by using up to 10 colors instead of only black and white. Li and Mould [2015] enhance the contrast of a given image by converting it into a black-and-white representation.…”