Regional Partitioned Iterated Function Systems for digital image enhancement

A new technique is presented for enhancing the contrast of digital images. The proposed method is based on the regional application of the Partitioned Iterated Function Systems (PIFS) algorithm. The subject image is partitioned into domain regions, using a standard Region Growing approach. Each doma...

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Bibliographic Details
Published in2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) pp. 265 - 269
Main Authors Economopoulos, T. L., Asvestas, P. A., Matsopoulos, G. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Digital images
Histograms
Image coding
Image contrast enhancement
Image enhancement
Image processing
Image segmentation
Noise
Partitioned iterated function systems
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ISBN9781467325851
1467325856
ISSN2154-5111
DOI10.1109/IPTA.2012.6469514

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Summary:A new technique is presented for enhancing the contrast of digital images. The proposed method is based on the regional application of the Partitioned Iterated Function Systems (PIFS) algorithm. The subject image is partitioned into domain regions, using a standard Region Growing approach. Each domain region is further partitioned into smaller range regions. In turn, each range region is transformed through a contractive affine spatial transform, as well as through a linear transform of the gray levels of its pixels. The PIFS is used in order to create a lowpass version of the original image, after processing each region. The contrast-enhanced image is obtained by adding the difference of the original image with its lowpass version, to the original image itself. The quantitative and qualitative results obtained, show that the proposed method achieves higher quality image enhancement, compared to two widely used contrast enhancement techniques.
ISBN:9781467325851
1467325856
ISSN:2154-5111
DOI:10.1109/IPTA.2012.6469514