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.
Highlights
A new threshold based edge detection algorithm is presented in Segmentation and object recognition using edge detection techniques and edge detection techniques for image segmentation
The new distinction method proposed, called a novel quadratic type variation method for efficient salt-and-pepper noise removal which is constructed based on quadratic formulation and efficient noise detection and removal [3]
A new methodology is proposed to removal of salt and pepper noise for both binary and gray level images .To remove salt and pepper noise, edge preserved and de-noising algorithm for digital color images is presented, it will work upon three steps: noisy pixel detection, replacement of noisy pixels, confirmation by comparing with a threshold and to improve the quality of the image median filter is used [7]
Summary
Edge detection plays an important role in image processing. Especially still it is problematic in color images .This can be improved and remove the noise by using some filter techniques like Standard Deviation, Geometric ,Weiner etc[1]. Two stage video based salt and pepper noise removal algorithm is proposed, firstly decision algorithm detect the noise free and noise pixels within selected window, secondly the pixel values are replaced with the trimmed median values and change the size of the window. A new methodology is proposed to removal of salt and pepper noise for both binary and gray level images .To remove salt and pepper noise, edge preserved and de-noising algorithm for digital color images is presented, it will work upon three steps: noisy pixel detection, replacement of noisy pixels, confirmation by comparing with a threshold and to improve the quality of the image median filter is used [7]. J.Kishore Kumar et al, International Journal of Advanced Research in Computer Science, 9 (1), Jan-Feb 2018, 152-154
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