Quick Response (QR) bar code is an extensively utilized matrix 2D
bar code. Consumers are becoming familiar with acquiring information
via handheld and wearable devices because of the wide-expansion of
wireless network infrastructures. QR code is considered as a container
filled with information whereby smart devices can directly capture and
decode this information and at high speed. A preprocessing system has
been proposed in this paper for enhancing QR code images suffering
from low-quality. This paper introduces a deblurring module which
particularly characterized by robust and real time operation which is an
appropriate solution for the challenging introduced problem. This paper
focuses on sharpening out of focus and motion blur QR code images by
using a proposed aperture filter design. The most important reasons for
these problems are because of lens imperfection, an out of focus scanning
device or camera movement during the capturing process. The key point
of the proposed design is that the gradient edge directions are utilized in
indexing the patterns instead of the intensity of the pixel under test. The
proposed technique provides useful innovation as an approach to QR
code image sharpening to increasing consumer satisfaction. Finally, the
significant improvement of the proposed algorithm has been indicated
by means of a number of applied experiments followed by statistical
analysis. This study proved that the proposed method outperforms many
other sharpener type filters in both preserving of edges and minimizing
distortion of signals.