Color is represented in digital images by the translation of visual information into numbers. Digital images are basically a rectangle of dots, each representing a color or tone, commonly referred to as a bitmap or a pixmap. We look at color models, profiles and bit depth.
The final component of imaging evolution is the software environment to create and make use of images. We can track the development of the digital image itself along with seismic changes with advances in software and hardware development. Let’s take a look at several eras in computing that have driven the use of images to new levels.
This is the third post in a set of four which outline the nature of images, formats and applications. As the complexity of digital images has grown, new formats have appeared to enable these capabilities. In fact, formats have always largely been purpose-driven. They are created as standardized containers that facilitate saving particular types of
In photomechanical imaging, the characteristics of the image are self-evident: it includes the tonal and color information, along with a grain or dot structure. This corresponds to the most basic digital images, which were originally just a rectangle full of colored dots representing tone, color and resolution. As technology evolved, digital images have become
This week we’re going to examine the relationship between images, formats and applications. (Note that in this four-part series of posts we use the terms “image” and “photography” in a very expansive sense. It can include both still and moving images, 3-D, and computational imaging.) It’s essential to separate your understanding of an image from
Image: Town Hall Square, Vilnius, Lithuania ©Peter Krogh 2019 It’s common for a master library application to have some ability to distribute files—and some distribution tools can also function as a library—so why should you use different tools? There are several good reasons, but they all fall under the heading of “it’s very difficult to