This blog is for GCC members to post items that they think will be of interest to other members, such as points for discussion, their favourite photographic locations, links to news, tutorial, review, etc items on the web and so on. A comment facility is included. Regular contributors can be given authority to post their own items; otherwise send to firstname.lastname@example.org
Posts are visible to anyone, not just club members.
Members can be informed of new posts using the RSS feed (if you are familiar with the process) or by email using the Follow facility at the bottom of the page.
“We’ve seen huge breakthroughs in the computational photography techniques in the latest smartphones, as well as the launch of some excellent small sensors in more traditional cameras. Does that mean that bigger is no longer necessarily better?”
Read more at DP Review.
“Modern DSLRs generally rely on what’s called phase difference autofocusing: basically, a rangefinder scheme updated with new technology. But .. this technology uses a second optical path within the camera, independent of the lens-to-sensor path used to make the photo…. Given manufacturing tolerances and the routine punishment you visit on your camera, it’s possible that these two paths are slightly different. Sure, your autofocus oughta focus. But it could be off.”
Read more at Shutterbug
“The sole purpose of Shutter Speed Chart Infographic is to visualize the various aspects of Shutter Speed to aid photographers and artists to adopt it as the primary artistic tool.”
Download the cheat sheet at PhotoTraces.
Apple has put some straight-to-the-point tutorials together that, in not much time at all, explain how specific iPhone camera features work as well as composition advice and tips on working in mono.
Read more at ePHOTOzine.
“We are all creative; it can be developed, amplified and honed because we all have the ability to be creative. Some practice it more than others so find it easier.”
Read more at ePHOTOzine.
“There’s no getting around physics – smartphone cameras, and therefore sensors, are tiny. And since we all (now) know that, generally speaking, it’s the amount of light you capture that determines image quality, smartphones have a serious disadvantage to deal with: they don’t capture enough light.
But that’s where computational photography comes in. By combining machine learning, computer vision, and computer graphics with traditional optical processes, computational photography aims to enhance what is achievable with traditional methods. Here’s a rundown of some recent developments in smartphone imaging – and why we think they’re a big deal.”
Read more at the Digital Photography Review site.
Noor Ahmed Gelal, Bangladesh – Praying with Food
See all the category winners on the Amateur Photography site and the competition website.