Still HDR

Details

Parent Category: Products

Category: Computational Camera

Highlights

MMS HDR uses multiple frames from a conventional image sensor

The algorithm fuses three frames captured with different exposure settings:

• Normal (+0EV), x¼ Dark (-2EV) and x4 Bright (+2EV), meaning 16x difference in brightness between dark and bright images – enough for practical cases

MMS HDR avoids ghosting

• Detects moving objects and does not fuse the corresponding areas to avoid ghosting artifacts
• Even large moving objects are handled properly
• Recovers overexposed areas, which are occluded by moving objects in the dark image

MMS HDR uses both gyro-based and features-based alignment

The images are aligned to each other before fusion

• If Gyroscopic sensor is available it is used to speed-up the process of images alignment (precise time stamps are necessary in this case)
• If no Gyroscopic sensor is mounted, the algorithm uses features detection and tracking for alignment

MMS HDR features local and global brightness and contrast enhancement

To enhance the visual quality of produced image, brightness and contrast enhancement is incorporated.

Example images: