Over the past decade the document analysis and
processing related to camera based document images has gained
the interest of research community. Nowadays, cameras are easily
available in the smart phones that can be carried in the small space
of our pockets while being lightweight, portable and relieving us
from the burden of walking down to a scanner for a digital copy of
a document. But even though capturing a document image through
a phone camera appears simple, the chances of obtaining a perfect
picture are scanty. As when the picture is captured in an
unconstrained environment, there are chances of degradation to
creep in that will hamper the visual quality of the document image
which further effect the readability(in terms of OCR accuracy).
Low quality documents give poor results. Document images
contain various degradations such as blur, uneven illumination,
perspective distortion, low resolution, smear etc. Quality
enhancement is helpful to recognize a camera captured document
more accurately and if not completely removing the degradations,
it can be used for suppressing them and making the text more
readable. This paper evaluates the performance of various deblurring
techniques for noisy and blurred camera captured
documents.