Abstract—The two most common forms of degradation, an
image suffers are loss of sharpness or blur, and noise. In this
paper, an attempt has been made to first develop a sharpening
method that increases the slope of edges without producing
overshoot and undershoot, which renders clean, crisp, and
artifact-free edges, thereby improving the overall appearance of
the image. In this paper, we present the adaptive bilateral filter
(ABF) for sharpness enhancement and noise removal. The ABF
sharpens an image by increasing the slope of the edges without
producing overshoot or undershoot. It is an approach to
sharpness enhancement that is fundamentally different from
the un sharp mask. This new approach to slope restoration also
differs previous slope restoration algorithms. In the ABF, the
edge slope is enhanced by transforming the histogram via a
range filter with adaptive offset and width. The ABF is able to
smooth the noise, while enhancing edges and textures in the
image. The parameters of the ABF are optimized with a
training procedure.. The proposed method is effective at
removing signal noise while enhancing the experimental results
in perceptual quality both quantitatively and qualitatively.
Index Terms—Bilateral filter, de-blurring, noise removal,
range filter, sharpness.
Ch. Ravi Kumar is with Prakasam Engineering College, Kandukur,
Prakasam (Dt) Andhra Pradesh, India (e-mail: ravi_ece99@yahoo.com).
S. K. Srivatsa is with the Department of ECE, Anna University, Chennai,
India (e-mail: profsks@rediffmail.com).
Cite: Ch. Ravi Kumar and S. K. Srivatsa, "Enhancement of Image Sharpness with Bilateral and Adaptive Filter," International Journal of Information and Education Technology vol. 6, no. 1, pp. 50-53, 2016.