Image Denoising Using Hybrid Filter

Noise is a random variation in brightness and color in image or simply we can say that unwanted signals are called noise. The noise is mixed with original signal and cause may troubles. Due to the presence of noise, quality of image is reduced and other features like edge sharpness and pattern recognition are badly affected. In image denoising methods to improve the results a hybrid filter is used for better visualization. The hybrid filter is composed with the combination of three filters connected in series. The hybridization has performed much better in case of salt and pepper type of noise and for most of the medical image type, either MRI, CT, SPECT, Ultra Sound. PSNR values show major improvement in comparison of other existing methods. Future, the results obtained from the presented denoising experiments would be tried to be improved further by using this method with other transform domain methods. Finally, the results are concluded that the proposed approach in terms of PSNR, MSE improvement is outperformed.

Download Full-text

Implementation of hybrid filter technique for noise removal from medical images

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i1.1.8917 ◽

2017 ◽

Vol 7 (1.1) ◽

pp. 25

Author(s):

Shruti Bhargava Choubey ◽

S.P.V. Subba Rao

Keyword(s):

Image Denoising ◽

Noisy Data ◽

Visual Quality ◽

Noise Removal ◽

Resonance Imaging ◽

Mr Images ◽

Hybrid Filter ◽

Low Contrast ◽

Signal Features ◽

Magnetic Resonance Imaging Mri

Image denoising is used to eliminate the noise while retaining as much as possible the important signal features. The function of image denoising is to calculate approximately the original image form the noisy data. Image denoising still remains the challenge for researchers because noise removal introduces artifacts and causes blurring of the images. Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). MR images are typically corrupted with noise, which hinder the medical diagnosis based on these images. The presence of noise not only causes as undesirable visual quality as well as lowers the visibility of low contrast objects. in this paper noise removal approach has proposed using hybridization of three filter with DWT method.Results calculated in terms of PSNR,MSE & TIME.

Download Full-text

Image Denoising using Hybrid Filter in Presence of Multiple Noises and Graphical User Interface for Medical Image Enhancement

i-manager’s Journal on Image Processing ◽

10.26634/jip.2.4.3686 ◽

2015 ◽

Vol 2 (4) ◽

pp. 10-18

Author(s):

Gopi Karnam ◽

◽

T. Ramashri ◽

Keyword(s):

User Interface ◽

Image Enhancement ◽

Image Denoising ◽

Graphical User Interface ◽

Medical Image ◽

Hybrid Filter ◽

Medical Image Enhancement

Download Full-text

An Optimized Hybrid Filter designing for Speckle and Gaussian Noise Reduction in Ultra-Sound Images

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i1135.0789s19 ◽

2019 ◽

Vol 8 (9S) ◽

pp. 836-842

Keyword(s):

Image Denoising ◽

Gaussian Noise ◽

Image Noise ◽

Ultra Sound ◽

Ultrasound Images ◽

Noisy Image ◽

Performance Parameters ◽

Hybrid Filter ◽

Image Region ◽

Information Image

Image which is a visual perception of a scene or something is a set of pixels that have certain values which appear in the form of colors to view that particular set of pixel as image. Image contains information about whatever is being depicted in the picture and hence it can be said as a useful source for storing or conveying information. Image noise is apparent in image region with low signal level, such as shadow region or under exposed images. The work presents the concept of noising and denoising in a digital image. Noise is a kind of disturbance that occurs in the channel at the time of transmission. Image denoising is the procedure of improving true images from the noisy images. For ages researchers have been proposing several techniques that were used to remove the noise from the image. Image denoising is the procedure of improving true image from the noisy image. At the time of such process it is difficult to reduce noise. Owing to this difficulty, numerous denoising models have been proposed [4]. The paper presents the reduction of speckle and Gaussian noise in the biomedical ultrasound images. In the proposed work, the Butterworth filter is applied for filtering the noisy image and then the coefficients are optimized by using the firefly algorithm mechanism to remove noise that occurs at the time of transmission and then it is hybrid with the Weiner filter. Experiments have been performed to check the performance of the proposed technique. The results are analyzed quantatively using PSNR and SSIM. The results are also evaluated on other performance parameters such as BER, MSE and fitness on speckle as well as on Gaussian noise.

Download Full-text