Published Paper Details:

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. The adaptive tonal correction (ATC) algorithm presented here uses the low-exposure or darker looking image as its input and enhances its appearance via tonal correction by making use of the mean (brightness) and variance (contrast) of the original blurred image in an adaptive manner. The main contribution here thus consists of an automatic process by which the tonal correction is done.