Tag Archives: web

An Itinerant Photographer and His iPad: A First Report

I returned last night from a week-long visit to New York City. While this wasn’t just a photography visit, enough photography was part of the plan that I had to carry a reasonable amount of equipment. Typically I would bring along my Macbook, but this time I decided to leave the laptop at home and see if I could get by with just an iPad instead.

I knew that this would necessitate some compromises in the way I usually operate on the road. For example, serious photography applications like Photoshop and Lightroom simply don’t run on the iPad, so there would be no possibility of doing real post-processing work on the road. The iPad doesn’t have a “real” keyboard, instead providing an on-screen “virtual keyboard” – more on that below. On the positive side, the iPad is positively tiny compared to any real laptop. It makes my 13″ Macbook seem terribly bulky by comparison. The iPad slips easily into the external pocket of my Crumpler Eight Million Dollar Home camera bag, and doesn’t add enough weight to the package to be worthy of note. The battery life is tremendous and the charger is very small.

What follows is an early report on certain aspects of iPad use by the traveling photographer – or at least this mobile photographer. Continue reading An Itinerant Photographer and His iPad: A First Report

Brandon’s Window Sill

Brandon's Window Sill
Brandon's Window Sill

Brandon’s Window Sill. San Francisco, California. February 20, 2010. © Copyright G Dan Mitchell – all rights reserved.

Photograph of the kitchen window in the Mission, San Francisco, California.

A grab-shot of window sill in a Mission District apartment. Not much more to say about this one…

This photograph is not in the public domain and may not be used on websites, blogs, or in other media without advance permission from G Dan Mitchell.

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Technical Data:
Canon EOS 5D Mark II
Canon EF 50mm f/1.4 USM
ISO 1600, f/11, 1/250 second

keywords: the, mission, san francisco, california, usa, north america, street, urban, city, still, life, interior, kitchen, window, sill, plant, spider, web, diffused, bokeh, light, ledge, red, stock

Michael Frye’s Weekly Photo Critique

Michael Frye has announced at his new blog that he will be doing a weekly online photo critique. As I understand, it works like this: Readers can submit their photographs. Once a week Michael will select one and offer a detailed critique of the image, and discussion and reader participation will follow. You can read more at the link to the critique announcement above.

This sounds like a great opportunity for all, and Michael is to be commended for his generosity. (He is also to be commended for his recent embrace of online media!) Every participant to submits an image will gain from his or her own careful consideration of their own images, the selected photographer will get feedback by a fine and highly regarded photographer, and we’ll all benefit from reading and participating in the critiques. I’m very much looking forward to this!

Experiment #2: A Hint

Here are the three source images:

The differences among them are obviously in the amount of noise that was added to the image. No noise was added to the first image – any noise there was in the original capture. 10% level “Uniform” noise was added to the second image in Photoshop. 20% “Uniform” noise was added to the third image in the same way.

The soft photograph was chosen to avoid masking the noise with a lot of other sharp detail – this image provides very smooth gradients from black to white, where noise is typically easier to detect. I also chose this image because it is nearly – but not quite – monochromatic. This meant that I could increase the effect of the noise by using color noise rather than limiting to monochromatic noise – and that the color noise would tend to be more visible against the nearly monochromatic background.

The original set of 6 jpgs includes two from each of the three versions shown here. For last-minute fun you could still visit the comment page and try to a) determine whether or not the differences are visible and b) which pairs of images are the least noisy, more noisy, and most noisy.

More information to come later this evening.