Enriching image quality.

Enriching image quality.

https://www.qualcomm.com/invention/research/projects/computer-vision/computational-photography

Chroma-Flash

There are certain challenges associated with images taken in low lighting conditions. For example, using a flash can cause the image to become over-exposed, altering the color of the image making it look unrealistic. On the other hand, not using a flash can cause the image to appear very dark. Chroma-Flash technology mitigates these challenges algorithmically and produces an image that preserves the colors, texture and brightness of the scenery.

Opti-Zoom

Smartphone cameras are typically not equipped with optical zoom due to size and cost considerations. As a result, the image captured by zooming in with a smartphone is done through cropping and interpolation. This results in an image that is both blurry and highly pixelated. Opti-Zoom technology significantly improves the clarity of images captured using zoom, through the use of sophisticated image processing technology which enhances the true resolution of the image.

Ubi-Focus

The ability to refocus different portions of a picture after an image is captured is one of several benefits of micro lens array cameras and light field photography techniques. We have developed a camera feature, called Ubi-Focus, that enables changing the focus after a picture is taken possible using existing smartphone camera hardware. Ubi-Focus allows the user to capture an image without specifying beforehand which object in the image scene should be in focus. The user can adjust the image after the shot has been taken by tapping on that area of the picture and selecting the object they would like to bring into focus. In addition, Ubi-Focus establishes the approximate depth of the objects in a scene providing the ability for an image to be in focus everywhere.

Ghostbuster HDR

High Dynamic Range (HDR) processing is needed in scenes with a large variation in brightness in order to represent more accurately the range of intensity levels found in real scenes, from direct sunlight to faint starlight. This is typically done by capturing multiple exposures of the same scene and combining them into one image using advanced image processing techniques. However, if an object happens to move while these images are captured, it can result in a picture with a duplicated image. Ghostbuster HDR prevents this from occurring by analyzing any object motion present in the scene and merging the multiple exposures of the scene together in order to generate a more realistic, ghost-free image.