This gallery contains a series of images that illustrate some of what Picture Window can do.
We recently ran a contest for the best set of before & after images created with Picture Window.
This wedding photo was taken during the ceremony using Ektar 1000 film. After the negatives came back from both sets of relatives, they were badly scratched. The image you see was cropped from the full 35mm frame. Using Picture Window, the image was retouched to remove the scratches, then color balanced to remove the greenish cast from the sky and wedding dress. Finally, to improve the composition, the justice of the peace was eliminated. The framed, final print made a great gift.
This photograph of Longfellow's house in Cambridge, Massachusetts was taken using a wide angle lens. Not only do the converging verticals make the house look like it's leaning backwards, but the camera was not quite level and the subject is a little off-center as well. Using Picture Window, this image was perspective corrected, rotated, and cropped in a single operation that took only few minutes to complete.
This is an exploded detail from an old family portrait that was badly cracked, scratched, and dirty. Using Picture Window's retouching tools this irreplacable image was rejuvenated.
This photo of Stonehenge was taken on a typical rainy English afternoon. The sky was overcast and the contrast was very low. The first step was to color balance the rocks and grass to eliminate their greenish cast. Next, the contrast was increased to bring out more detail in the rocks and the initials "DI" were removed out from one of the rocks. Finally, to add impact, the entire sky was replaced with one from another image.
To get enough depth of field to keep the entire azalea blossom in focus this picture had to be taken at f/22, but that made the background too sharp and distracting. Using Picture Window, a mask was first created to permit modifying the background without altering the foreground. Using this mask, the background was then heavily blurred to make the flowers really stand out.
This very average vacation snapshot would normally have been destined for the trash can or long-term storage in the attic. First it was cropped down to a much tighter vertical composition, then color balanced to improve the skin tones. Finally, the saturation was boosted a little and the image was sharpened.
This old black and white photo was first scanned using a flatbed scanner. Then, using Picture Window, it was colorized to produce an effect similar to hand tinting.
These images illustrate a few of the special effects you can apply to a photograph using Picture Window. The original image is in the upper left corner.
This image was scanned from a Fuji Velvia transparency; while Velvia is a fantastic fine-grained film that delivers great color saturation, it does have a tendency to overemphasize reds. Working in Utah's red rock country or photographing bright red flowers, this can be a huge advantage, but in the case of this photo it rendered the pine needles much too red. On the other hand, the neutrals and greens are just fine, so applying a cyan color correction filter would fix the reds but make everything else too cyan. Picture Window Pro's Color Correction transformation is just the tool for effecting this kind of selective color change. To tone down the reds all I had to do was click on the pine needles to place a control point at the corresponding location in the color wheel -- dragging the control point to a new location nearer the center did the trick.
Somtimes there's just one thing you don't like about a photograph, like the color of the sky. Here's another example of selective color correction:
Posterization is a special effect that can produce striking graphic images from otherwise ordinary photographs. It works by drastically reducing the number of different colors in the image, similar to the way a silk screened poster is created using a limited number of ink colors. To create a posterization, you specify a palette of colors and Picture Window creates a new image finding the palette color with the closest match to each pixel in the input image. Here's an example:
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