Noise Reduction for Big Percentage Salt and Pepper Using a Combination of Algorithm in 24-Bit Color Image
Irpan Adiputra Pardosi, Ali Akbar Lubis, Hernawati Gohzali · 2019 Fourth International Conference on Informatics and Computing (ICIC) · 2019
Problem of salt noise in images can be reduced partially or in whole with various algorithms but will have an impact on the diversity of information in the image such as the color combination between RGB and image quality. With a large percentage of noise, the changes in the resulting image will also be large, especially in the 24bit image. This study specifically addresses the type of salt and pepper noise with a percentage of noise greater than 45% in bitmap color images, based on previous research which revealed the ability of noise reduction algorithms with Adaptive Fuzzy Filter (AFF) better than Spatial Median Filter (SMF) in terms of image quality with the best Peak Signal to Noise Ratio (PSNR) 28.10 dB in 24bit color images but left some noise after being reduced. This study will examine the stages of the noise reduction process with the aim of improving image quality up to close to 40 dB, starting from a combination of both algorithms (AFF and SMF) and the process of reducing noise with the same algorithm 2 times. Test results on 24bit bitmap color images for salt noise percentage 45%, obtained results image quality with the AFF algorithm is better than the SMF algorithm and the combination of both algorithms or the process of repeating the reduction with the same algorithm 2 times. The AFF algorithm is not able to reduce noise reduction to zero but the image quality is close to 40 dB which is 30.57 dB.