Authors:
Victor Bogdan
1
;
Cosmin Bonchiş
1
and
Ciprian Orhei
2
Affiliations:
1
West University of Timişoara, Bd. V. Pârvan 4, 045B, Timişoara, RO-300223, Romania
;
2
Polytechnic University of Timişoara, Timişoara, RO-300223, România
Keyword(s):
Dilated Filters, Image Sharpening, Unsharp Masking, Image Contrast Enhancement, Image Processing.
Abstract:
Image sharpening techniques are pivotal in image processing, serving to accentuate the contrast between darker and lighter regions in images. Building upon prior research that highlights the advantages of dilated kernels in edge detection algorithms, our study introduces a multi-level dilatation wavelet scheme. This novel approach to Unsharp Masking involves processing the input image through a low-pass filter with varying dilatation factors, followed by wavelet fusion. The visual outcomes of this method demonstrate marked improvements in image quality, notably enhancing details without introducing any undesirable crisping effects. Given the absence of a universally accepted index for optimal image sharpness in current literature, we have employed a range of metrics to evaluate the effectiveness of our proposed technique.