AN OPTIMIZED TECHNIQUE FOR GRAY IMAGE EXTRACTION AND EDGE DETECTION IN RGB IMAGE USING NOVEL HYBRID BILATERAL FILTER AND WAVELET TRANSFORM

Abstract

In present era the technology growing in drastic changes, even though in some areas are need to achieve numerous goals. Image processing is one of the field which every day the human interacting with image processing technology. Even though images which has preprocessed from image technology have some noise. The noise removal process is one of the new goals to the young scientists. So In this paper we have designed a new novel algorithm which will remove noise in RGB & GRAY images. While removing noise from images some properties may misplace the image like edges which will have good role to visualize. So such types of properties are recovering from the preprocessed images by using Novel Hybrid Bilateral Filter and Stationary Wavelet Transform. This process has three stage techniques. At first it will separate the given image into three images like Red image, Blue Image and Green Image. Secondly; it removes noise from the separated images like Red, Blue and Green images. Finally; it will reconstruct a new RGB image without thrashing of any information. This technique is useful for the cloud images, satellite images and windy images.