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We Believe That Black Lives Matter

CAPTION: Protestors kneel along th​e newly dedicated Black L​ives Matter Plaza in Wash​ington D.C. on Saturday, June​ 6, 2020. (Michael A. McC​oy/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

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Foundations

Camera Raw Images

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.

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Foundations

Multi-part “Conventional” Images

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

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Color

Bit Depth

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.

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Color

Color Profiles

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.

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Color

Understanding Color in Digital Images

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.

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Foundations

The Evolution of Imaging Applications

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.

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Foundations

The Evolution of Formats

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

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Foundations

The Evolution of Digital Image Data

  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

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Foundations

Images, Formats and Applications

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

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