Abstract
In this study, the proposed Optimum Gamma Value Assignment (OGVA) method is intended to dynamically optimize the image intensity level in non-desired images due to undesired light levels. For this purpose, it is aimed to make the dark images which cannot be seen due to lack of light, while bright images are dynamically dimmed by using the optimum gamma correction value applied on the image momentarily. It has been shown that this novel method, which will only be implemented as software, without requiring any additional hardware, yields satisfying results even at different light levels.
Keywords
References
- Gonzalez R.C., Woods R.E., 2002, Digital Image Processing , Pearson.
- Huanga Z. , Zhanga T. , Lib Q. , Fangc H. , 2016, Adaptive gamma correction based on cumulative histogram for enhancing near-infrared images, Infrared Physics & Technology Volume 79, pages 205-215.
- Lee P.M, Chen H.Y, 2005, Adjustable gamma correction circuit for TFT LCD, IEEE International Symposium on Circuits and Systems
- Roberts A., 1993, Measurement of display transfer characteristic (gamma, γ), EBU Technical Review 257 , pages: 32–40.
- Stokes M., Anderson M., Chandrasekar S., Motta R., 1996, A Standard Default Color Space for the Internet – sRGB”, IS&T’s 4th Color Imaging Conference Proc., p. 238
- Yen H.- Yang, Lee Y. C. , Fan Y.Ch, Taso H.W. , 2007, A Novel algorithm of local contrast enhancement for medical image, IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium, pages: 3951 – 3954.
Abstract
Bu çalışmada, önerilen Optimum Gama Değeri Ataması (OGVA) yöntemi ile istenmeyen ışık seviyeleri içeren görüntülerde görüntü ışık seviyesinin dinamik olarak optimize edilmesi amaçlanmıştır. Bu amaçla ışığın yetersizliğinden dolayı görülemeyen karanlık görüntüler aydınlatılırken, parlak görüntülerin ise anlık olarak uygulanan en iyi gama düzeltme değeri kullanılarak dinamik olarak karartılması amaçlanmaktadır. Herhangi bir ek donanım gerektirmeden sadece yazılım olarak uygulanacak olan bu yeni yöntemin, çok küçük hesaplama maliyeti ile farklı ışık seviyeleri için bile tatmin edici sonuçlar verdiği gösterilmiştir.
Keywords
References
- Gonzalez R.C., Woods R.E., 2002, Digital Image Processing , Pearson.
- Huanga Z. , Zhanga T. , Lib Q. , Fangc H. , 2016, Adaptive gamma correction based on cumulative histogram for enhancing near-infrared images, Infrared Physics & Technology Volume 79, pages 205-215.
- Lee P.M, Chen H.Y, 2005, Adjustable gamma correction circuit for TFT LCD, IEEE International Symposium on Circuits and Systems
- Roberts A., 1993, Measurement of display transfer characteristic (gamma, γ), EBU Technical Review 257 , pages: 32–40.
- Stokes M., Anderson M., Chandrasekar S., Motta R., 1996, A Standard Default Color Space for the Internet – sRGB”, IS&T’s 4th Color Imaging Conference Proc., p. 238
- Yen H.- Yang, Lee Y. C. , Fan Y.Ch, Taso H.W. , 2007, A Novel algorithm of local contrast enhancement for medical image, IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium, pages: 3951 – 3954.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | May 20, 2020 |
| Submission Date | March 19, 2019 |
| Published in Issue | Year 2020 Volume: 20 Issue: 2 |
