Yıl 2017, Cilt 18, Sayı 5, Sayfalar 988 - 999 2017-12-31
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## Optimized Parameters for Bell-Shaped Error Function in Image Denoising

#### Kemal ÖZKAN [1] , Erol SEKE [2]

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Adaptive image denoising algorithms rely on an error function that measure the distance between an estimated result and expectations. Selection of the error function and its parameters are crucial for a successful denoising implementation. In this paper, a method for determining close-to-optimal parameters for a bell-shaped error function is evaluated. The function with calculated parameters is employed within a gradient optimization algorithm and tested using test images with varying noise types and levels. The restoration results of the denoising test runs that use the proposed parameters are compared against the results of algorithms that employ well-known least squares and sum of absolute differences methods along with a method that combines both. The clear superiority of the bell-shaped error function for the proposed parameters is shown by the test results.

Adaptive iterative restoration, Bell-shaped error function, Data fidelity, geometric tight framelet, Geometric tight framelet
• Banham MR, Katsaggelos AK. Digital image restoration. IEEE Signal Proc Mag 1997; 14 (2): 24-41.
Konular Mühendislik Araştırma Makalesi Yazar: Kemal ÖZKAN Yazar: Erol SEKE
 Bibtex @araştırma makalesi { aubtda346122, journal = {ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering}, issn = {1302-3160}, eissn = {2146-0205}, address = {Eskişehir Teknik Üniversitesi}, year = {2017}, volume = {18}, pages = {988 - 999}, doi = {10.18038/aubtda.346122}, title = {Optimized Parameters for Bell-Shaped Error Function in Image Denoising}, key = {cite}, author = {ÖZKAN, Kemal and SEKE, Erol} } APA ÖZKAN, K , SEKE, E . (2017). Optimized Parameters for Bell-Shaped Error Function in Image Denoising. ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering, 18 (5), 988-999. DOI: 10.18038/aubtda.346122 MLA ÖZKAN, K , SEKE, E . "Optimized Parameters for Bell-Shaped Error Function in Image Denoising". ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering 18 (2017): 988-999 Chicago ÖZKAN, K , SEKE, E . "Optimized Parameters for Bell-Shaped Error Function in Image Denoising". ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering 18 (2017): 988-999 RIS TY - JOUR T1 - Optimized Parameters for Bell-Shaped Error Function in Image Denoising AU - Kemal ÖZKAN , Erol SEKE Y1 - 2017 PY - 2017 N1 - doi: 10.18038/aubtda.346122 DO - 10.18038/aubtda.346122 T2 - ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering JF - Journal JO - JOR SP - 988 EP - 999 VL - 18 IS - 5 SN - 1302-3160-2146-0205 M3 - doi: 10.18038/aubtda.346122 UR - http://dx.doi.org/10.18038/aubtda.346122 Y2 - 2019 ER - EndNote %0 Anadolu Üniversitesi Bilim Ve Teknoloji Dergisi A - Uygulamalı Bilimler ve Mühendislik Optimized Parameters for Bell-Shaped Error Function in Image Denoising %A Kemal ÖZKAN , Erol SEKE %T Optimized Parameters for Bell-Shaped Error Function in Image Denoising %D 2017 %J ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering %P 1302-3160-2146-0205 %V 18 %N 5 %R doi: 10.18038/aubtda.346122 %U 10.18038/aubtda.346122 ISNAD ÖZKAN, Kemal , SEKE, Erol . "Optimized Parameters for Bell-Shaped Error Function in Image Denoising". ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering 18 / 5 (Aralık 2017): 988-999. http://dx.doi.org/10.18038/aubtda.346122