Happy New Year everybody!! On this episode Chris talks about goals when it comes to presenting your work in public and what they entail. Tom is interested in a sharpening workflow and Chris spills the beans about his own (barely existing) sharpening workflow. Also, the little robot from the podcast The Future of Photography finally has a name. Thanks to everyone who helps with their suggestions.
Joan isn’t quite happy about the sharpness of his photos of people and Chris does a few sophisticated guesses on what he means and how to counter it and get sharper photos of people. Kevin wonders how to tame the flood of RAW and JPG images in his Lightroom and if he needs both at all.
Chris discusses how misunderstood sharpening is. Sharpening is often perceived to be a necessity in the digital world. Partially that’s right. The anti aliasing filters and the de-mosaicing process will reduce the sharpness and detail in a picture. By increasing edge contrast, sharpening will increase the perceived sharpness. It will thus make the photo more crisp and easier on the human visual system.
Rick takes a lot of pictures of horses. He wonders about how to organise the thousands of photos. Chris elaborates on why creating a new Lightroom catalog for each new event means missing out on some of the most interesting and important benefits that working with a metadata-driven system will give you. Most importantly there is the ability to quickly find photos based on their properties. An example: show all pictures from 2011 that have the keyword “barbecue”, that have a rating of three or more stars and were shot with a wide-angle lens. Using both the automated metadata (EXIF) and the metadata that you provide yourself (IPTC) enables a whole lot of wizardry that you won’t get if you don’t keep most pictures together
This episode also gives the surprisingly simple answer on how to change some of the metadata on all of your pictures. No need to write scripts and manually modify the contents of XMP files, Lightroom will handle all that for you in virtually no time.