Salt and pepper noise removal by using improved decision based algorithm
Muhammad Syafiq Alza Alias, Norazlin Ibrahim, Zalhan Mohd Zin · 2017
Noise removal in an image is important in image processing because noise can bring a great deal amount of problems such as degraded the quality image and loss of crucial information in image. Therefore, image filtering technique has been introduced to overcome the problems. One of the common noises in image is Salt and Pepper noise. A lot of studies have been conducted by researchers to remove this noise efficiently. However, most of the studies have difficulties in removing this noise especially at high density. Therefore, this research is conducted to improve image filtering technique and preserve the originality of the pixel. The proposed technique is developed based on Decision Based Algorithm and the performance is compared with Median Filter, Hybrid Median Filter, Adaptive Median Filter and Ben Filter. Three images are used which are the lead frame, fruit and baboon images and the metric of comparison is determined by using Mean Square Error method. The result of this study has shown that the proposed filter can remove Salt and Pepper noise efficiently at different density and restored the originality of the pixel.