Image Processing Quotes

I've always been very interested in the question of how computation can fundamentally advance the things that we can see. This led me to have a fascination with medical imaging, especially things like MRI and scanning, and eventually computer graphics.

When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face.

It is my mind, with its store of images, that gives the world color and sound; and that supremely real and rational certainty which I can "experience" is, in its most simple form, an exceedingly complicated structure of mental images. Thus there is, in a certain sense, nothing that is directly experienced except the mind itself. Everything is mediated through the mind, translated, filtered, allegorized, twisted, even falsified by it. We are . . . enveloped in a cloud of changing and endlessly shifting images.

We might be the holographic image of a two-dimensional structure.

Photography is pretty simple stuff. You just react to what you see, and take many, many pictures.

When you start out, you're not really aware. I didn't have a sense of photographic history.

The words of language, as they are written or spoken, do not seem to play any role in my mechanism of thought. The physical entities which seem to serve as elements in thought are certain signs and more or less clear images.

With digital technology there's a huge spectrum of flexibility in what you can do to manipulate sound and image - which you can push into a really artificial realm if you aren't careful.

A picture is worth a thousand words. An interface is worth a thousand pictures.

In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.

You can hardly turn around and not see something that was done in Photoshop.

Images are made palpable, ironed flat by technology and, in turn, dictate the seemingly real through the representative.

...it is seldom indeed that a composition which was poor when the picture was taken can be improved by reshaping it in the dark room.

Yes, we are a producer of cameras, but we understand that at the end of the day, you have to make photos in software. A lot of companies focus on the camera side, and a lot are on the software side. There's a chasm between the two.

In computing, everything happens inside this rectangular screen. I want to get the pixels out, paint the world, and allow us to interact with it.

Photography has always been a passion of mine, but I began to study light field photography when I was in the Ph.D. program at Stanford University.

I've always thought photography was a bit of an adventure, so to come home with the film, develop it, then look at the results has more of a sense of excitement.

I've learned to create a palette, a vocabulary of ways to take pictures.

I like to think of Photography 1.0 as the invention of photography. Photography 2.0 is digital technology and the move from film and paper to everything on a chip. Photography 3.0 is the use of the camera, space, and color and to capture an object in the third dimension.

I am a big fan of photography, more of being behind the camera - so when I get the opportunity to work with such great photographers, I always try and learn from their technique.

Nowadays, people shoot digitally and it's all in color, but you press a button and it all goes to black and white. But it's not lit for black and white. So, it's a tricky thing. If you're going do black and white, you better remember to separate things with light, because color ain't gonna be there.

Some time ago, I investigated the possibility that a computer might be able to reconstruct a picture from sets of very accurate X-ray measurements taken through the body at a multitude of different angles.

Yes, we have prototyped cars that can drive by themselves, but without smart vision, they cannot really tell the difference between a crumpled paper bag on the road, which can be run over, and a rock that size, which should be avoided.

I've been working with photography for many years.

There are images I need to complete my own reality.