The dynamic range of any sensor used in digital cameras is defined by the largest possible signal divided by the smallest possible signal it can generate. The largest signal represents the maximum amount of light that can be converted by the sensor into a unique digital value that represents a pixel into a photo. The […]
Archive for the ‘Digital Imaging’ Category
There are two ways in which digital images can be compressed: lossless and lossy. Lossless Compression Lossless compression is similar to what WinZip does. For example, if you compress a document into a ZIP file and later extract and open the document, the content will be identical to the original. No information is lost in […]
A color space (or color model) is an abstract mathematical model describing the way colours can be represented as groups of numbers, typically as three or four values or color components (e.g. RGB and CMYK are color models). The Additive RGB Colors The cells inside our eyes (called cone-shaped cells) are sensitive to red, green, […]
In digital computers world bits are the smallest pieces of information that can be stored. One bit of information has a value of either “0” or “1”. This values correspond with the two states of a switch: “on” and “off”. The electronic switches used in computers are called transistors.
In this second (and last) part we will talk about Moire, Maze Artifacts, Noise and Sharpening Halos. Moire and Maze Artifacts If a scene contains areas with repetitive detail which exceeds the resolution of the camera, a wavy moire pattern can appear. Anti-alias filters reduce or eliminate moire but also reduce image sharpness. Sometimes, moire […]