| Paper: | MA-L4.5 |
| Session: | Image and Video Restoration |
| Time: | Monday, September 17, 11:30 - 11:50 |
| Presentation: |
Lecture
|
| Title: |
IMAGE BLUR REDUCTION FOR CELL-PHONE CAMERAS VIA ADAPTIVE TONAL CORRECTION |
| Authors: |
Qolamreza Razlighi; University of Texas at Dallas | | |
| | Nasser Kehtarnavaz; University of Texas at Dallas | | |
| Abstract: |
Image blur occurs often when using a cell- phone camera due to handshakes or jitter. Although there exist many motion deblurring algorithms in the literature, the computational complexities of these algorithms and the assumptions considered make them unsuitable for deployment on a cell-phone camera processor. This paper presents an image blur reduction algorithm for cell-phone cameras having a low computational complexity and without making any assumption about the handshake motion. This algorithm utilizes one low-exposure image in addition to a blurred image to perform a blur reduction operation via tonal correction. The developed tonal correction approach is adaptive to the scene by taking into consideration the brightness and contrast of the blurred image. The results obtained indicate the effectiveness of this blur reduction algorithm for handshake blurred images captured by a cell-phone camera. |
