File formats can now allow an image file to include multiple renderings which are prepared for specific applications. And it’s also possible for a single image to be edited on multiple different devices, and for all the settings to flow back to the master copy.
Three dimensional representations are becoming ever more important in visual communication. Here we examine some of the methods that are used to capture and represent 3-d images.
CAPTION: Protestors kneel along the newly dedicated Black Lives Matter Plaza in Washington D.C. on Saturday, June 6, 2020. (Michael A. McCoy/The New York Times/Redux) To Our Readers: We built our blog as a place to learn about visual language and media, but right now it’s important for us to pause and take note of
Camera raw images have revolutionized photography. They provide unparalleled flexibility for post processing by allowing photographers to fix defects. More importantly, raw files allow a broad range of subjective and stylistic interpretations.
Our digital images are often constructed from multiple components. This can include multiple images as well as masks and channels that are useful for blending and adjusting images, as well as embedded text
Bit depth is the number of colors that can be described by an image’s numerical values. Think of it as the number of crayons you have to make a drawing.
In this post we examine color profiles, which are specific flavors of a color model. Each color model describes a method to turn colors into numbers, but within each of these color models, there are different ways to calculate the numbers.
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