There are two galleries below: the first includes a set of images from a woodland swamp in northern New York, and the second contains the before and after versions of the same images, showing the differences between the original and final versions processed with Lightroom and the Nik Collection.
For the first two images, I tried to emphasize the detail of the beaver cuts on the tree trunks, while still conveying the aged, worn smoothness of those cuts. My approach to the third image was to highlight the pair of trunks topped with moss by adding green saturation and increasing focus and lighting on the trunks to separate them from the background.
With the wider angle images of the swamp, I started by treating them as low-key photographs by significantly darkening the backgrounds. As you can probably imagine from looking at the before images in the second gallery, the gray in the backgrounds — once darkened — would give the scene a heavily shaded, foreboding appearance. Not a bad look overall, and I may still do a set like that. But then I thought it might be interesting to try something else: convert the images from scary-swamp to happy-swamp by intensifying the colors and creating high contrast between the water (and the thick, green algae on the water’s surface) and the twisted deadfall throughout the scenes. The result, I think, suggests a greater sense of standing at the edge of the swamp, with the eye tracking from the greens in each foreground to the depths of the swamp and the trees in the backgrounds. The intensified saturation and contrast also brings out many more colors present in the images that weren’t evident in the original photographs.
I included the last four images from the same area just because I liked them. What photographer can resist a colorful clump of fungus (with a big bug in the middle!), some bright red leaves, and an old Ford truck partly buried in the woods?
Select the first image below to begin a slideshow, then skip to the second gallery if you would like to compare the before and after images.
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