2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

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.



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