, also referred to as images, are digital representations that consist of shades of gray ranging from pure black to pure white. Unlike color images that rely on multiple color channels to represent different hues, black and white images use a single channel called a . Each pixel in a black and white image represents a specific shade of gray, where a value of 0 corresponds to black and a value of 255 corresponds to white.
s are a type of black and white image that contains only two possible pixel values, typically 0 and 1. These images are often used in computer vision tasks and can be generated through techniques such as or . Thresholding involves selecting a particular pixel value as a threshold and classifying pixels below that threshold as black and pixels above it as white.
images, on the other hand, refer to images that use a single color channel but may not necessarily be grayscale. They can include images that utilize only a single hue such as sepia-toned photographs or various color filters.
When working with black and white images, several factors come into play to enhance their quality and visual impact. , for instance, determines the difference between the darkest and lightest areas of the image. Adjusting contrast can make the image more dynamic by emphasizing and details.
Texture and are crucial aspects of black and white photography. Texture refers to the perceived tactile quality of different surfaces within the image, while sharpness relates to the level of detail and clarity. These factors contribute to the overall visual interest and appeal of the image, shaping its mood and narrative.
and images are two distinct aesthetics commonly used in black and white photography. High key images feature predominantly bright tones, often with minimal shadows, creating a sense of lightness and ethereal quality. Conversely, low key images are characterized by predominantly dark tones and strong shadows, evoking mystery and drama.
Keywords
texture | pixel | high key | low key | dithering | black and white images | monochrome | grayscale | thresholding | contrast | sharpness | binary image |
