Development of Traditional Algorithm Used in Denoising to Enhance Contrast of the Color Images

• Main Authors: Hanan Ali, Esraa Al-Majed, Asmaa Nadhim, Rahma Saleem
• Format: Article
• Language: Arabic
• Published: Mosul University 2013-03-01
• Series: Al-Rafidain Journal of Computer Sciences and Mathematics
• Subjects: contrast; adaptive contrast enhancement global filter
• Online Access: https://csmj.mosuljournals.com/article_163454_60b8d8a1d3e19d6e1b27dbe2583b33f9.pdf

With the evolution of life and complexity there is a need to use the images in many scientific fields weather forecast, medical, engineering, and the fact that these images are a lot of distortion during capture due to the availability of cameras and Rate in abundance and in the hands of people who do not have enough experience in how to capture images in terms of quality lighting and distribution has become important use a variety of methods to improve these images show the best form of these methods and improve the image contrast (Contrast Enhancement). In this research applied  traditional algorithm filter to improve the <strong>Adaptive Contrast Enhancement</strong> Global  Filter (ACE _mean) and has been the development of this algorithm to a new two Hybrid algorithms to improve the contrast Enhancement (<strong>Median Contrast Enhancement</strong> ACE_median) and the other algorithm is (<strong>Max & Min Contrast Enhancement ACE_max&min</strong>). the two hybrid algorithms obtained from merging two available methods, first is the traditional algorithm (ACE_mean)  with the second methods of another practice in improving the image is (<strong>Smoothing Images Enhancement</strong>) which is used to removing the noise from images .the results of each method were compared with the results of  other algorithms to show the best of them.