DxO ViewPoint is the first software solution entirely dedicated to correcting distorted elements on the edges of your photos, and to fixing problems with keystoning and tilted horizons. Thanks to the precision and simplicity of DxO ViewPoint's tools, you can quickly and easily restore the natural proportions of the subjects in your images by integrating the power of DxO Labs' exclusive geometric correction technology into your usual image processing workflow.
Intel Mac 10.6 or later. DxO ViewPoint integrates perfectly with your workflow as a standalone application for Mac and Windows, or as a plugin for Adobe Photoshop CS3, CS4, CS5, CS6, and Adobe Photoshop Lightroom 3 and 4.
What's new in DxO ViewPoint 1.2.1 Build 14:
· DxO ViewPoint v1.2.1, DxO Labs' software solution dedicated to correcting distortions tied to the use of wide-angle lenses and to fixing problems with perspective, is now fully compatible with Adobe® Photoshop® CC and Lightroom® 5.
· DxO ViewPoint v1.2.1 easily restores the natural shapes of subjects located on the edges of images - a distortion known as "volume anamorphosis" - and accurately corrects keystoning and other perspective problems frequently found in architectural and landscape photos. Based on DxO Labs' exclusive geometrical corrections, DxO ViewPoint v1.2.1 provides simple visual tools as well as advanced controls for applying spectacular corrections with unparalleled accuracy.
· With just one license, DxO ViewPoint v1.2.1 can be used as a plugin for Adobe Photoshop and Lightroom, and as a standalone application.
· Used as a plugin, DxO ViewPoint v1.2.1 integrates perfectly with Adobe Photoshop CS3, CS4, CS5, CS6, and CC, as well as with Lightroom 3, 4, and 5. The software allows photographers to preserve their usual work environment and habits. Among other things, DxO ViewPoint v1.2.1 's ability to save correction settings provides an extremely smooth workflow: users can save their settings to re-use the same corrections in just one click, even after backtracking and changing their image in the host application.