The Fine Photograph

I am back from Indiana where I gave a seminar on Photography, Lightroom and Photoshop. Many thanks to a great group of people at the Goshen Photography Guild for their support for the program which sold out the available seats. The venue was great and the experience was wonderful and fun.

The day after the seminar a group of us went after images at Michigan City along the lake with the Chicago skyline visible (slightly) in the distance. Some were hoping for a sunset with the skyline, but cool air and wind were there instead.

IMAGE SHARPENING

As is typical when giving a seminar, you never know how the questions and overall flow will go until it happens. I wanted to include a section on image sharpening which time did not allow. So, I want to direct people to my Learning Page for more information and in particular the two articles, Smart Sharpen , and the High Pass Filter for sharpening images. There are, of course, many other ways to sharpen images, but these two are both powerful, versatile, and the most used.

The two gulls in the photograph above were surprisingly cooperative considering the exposure time for the image was 20 seconds. This was done with the aid of a neutral density filter that allows the moving water and clouds to appear as smooth tones rather than fine detail, while stationary content is registered in a normal manner. Great fun.

High Pass Sharpening

A common failing in many images is non-existent or badly done sharpening. I hope if you are working in digital imaging that you already know to avoid the three filters that actually start with the word “sharpen” in the filters list. Smart Sharpen and Unsharp Mask are much better choices. In addition is a technique not shown in the sharpening options, but using a filter that “passes” high frequency information. In real world terms that means “edges” to a photographer, and is the opposite of a “low pass” filter, which is Gaussian blur. This is a fairly simple and easy to use sharpening technique, especially for portraits.
The technique requires a blend mode be applied to the layer as well as the high pass filter itself. This is best done on a merged visible layer at the top of the layer stack saved as a psd. That makes it easy to remove and replace should the image need to be repurposed, resized, or otherwise manipulated. In a finished image it can be applied to a duplicate layer. The primary decision for all sharpening is output destination and size. The sharpening for a small web image will be insufficient for a high resolution file aimed at producing an 11×14 inch inkjet print. Conversely, the print sharpening will be far too aggressive for the web image.
A detailed explanation of this technique is in an article on my Learning Page.
A detailed explanation of this technique is in an article on my Learning Page.

The High Pass technique essentially finds edges and when coupled with a contrast blend mode like Overlay results in increased contrast at the edges giving the appearance of sharpening of the image. Smoother areas of the image are ignored which helps to make the process even more valuable. For example, High Pass sharpening of about 1 pixel on a portrait will sharpen the eyes and hair while ignoring the skin.

The effect can be reduced by using the Soft Light blend mode and/or reducing the opacity of the sharpening layer. Small images can use High Pass settings as low as .3 pixels, and some larger images can benefit from larger radius settings. Experimenting and analyzing the results is something the beginner needs to do to gain an understanding of how the process works.

Find the dialog under Filter | Other | High Pass and choose a setting appropriate for the image size. When you click OK the layer will turn gray with slight lighter and darker edges defining your subject edges. Change the layer blend mode to Overlay to start, and click the layer on and off to see the effect. This is best done with the image on screen at 50% or 100%. A 50% view more closely shows the result as it will appear on a print. Edges you would prefer remain unsharpened can be masked off if needed.

A full article explaining the technique with illustrations is on my Learning Page (see link at top). Check in there (refresh your page if needed to get the latest version).