A rapid hybrid algorithm for image restoration combining parametric Wiener filtering and wave atom transform

Mbarki, Zouhair; Seddik, Hassene; Braiek, Ezzedine Ben

doi:10.1016/j.jvcir.2016.08.009

Cited by 16 publications

(9 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PSNR value is calculated for 3 images and it is compared with other existing method in Table 1, which shows the effectiveness of the proposed NLGBT-wave atom method. Instead of smoothing of images like wiener-wave atom [24], the proposed hybrid method involves in smoothing of basic vectors of the image. This helps to increase the performance and minimize the computation time.…”

Section: Resultsmentioning

confidence: 99%

“…Zouhair Mbarki, et al [24] presented a new rapid and blind algorithm for image restoration technique, which doesn't require prior knowledge about the noise distribution. The degraded image deconvoluted in Fourier space by Wiener filtering and smoothed by the wave atom transform.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The wavelet packet of tree points are represented in ( , ) and the depth at the point is − . In that function, is the maximum depth and number of nodes on the left at the same depth is denoted as [24]. This is the common indexing method for the wavelet packets and within Fourier uncertainty principle.…”

Section: Digital Wave Atomsmentioning

confidence: 99%

See 2 more Smart Citations

Robust Image Restoration using Non-Local Graph Based Transform and Wave Atoms

Ganesh¹,

Kusagur²

2019

IJIES

View full text Add to dashboard Cite

The image restoration is the process of recovering the uncorrupted image from the noisy or blurred image. The aim of this method is to propose a hybrid method for effective image restoration process. The Hybrid involves in Non-Local Graph based Transform (NLGBT) learns basic vectors from the image and Wave atom technique is applied for harmonic computational analysis. In order to test the performance of the proposed system, inbuilt MATLAB image is considered and these images has been degraded with Gaussian blur, then added to the Gaussian noise. The degraded images are used to plot NLGBT and the basic vectors learn from this graph. Wave atoms coefficient has been set with the threshold values, which smoothen the image with provided vector. Instead of smoothening of the images, smoothening on the given basic vectors of the images from the NLGBT technique helps in achieving higher efficiency. The existing methods involves in smoothing of images for denoising and proposed hybrid method involves in smoothening of basic vectors from NLGBT. The result provided by the wave atom technique achieves the PSNR value of 18.57 dB, state-of-the-art method achieves 20.08 dB and proposed technique achieve up to 29.02. The experimental result shows that the NLGBT and wave atoms attains high quality of the image in the restoration process compared to other existing method.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Robust Image Restoration using Non-Local Graph Based Transform and Wave Atoms

Ganesh¹,

Kusagur²

2019

IJIES

View full text Add to dashboard Cite

show abstract

“…Wiener filter was proposed by Wiener firstly and it achieved better performance in imagel processing, especially in image restoration [11][12][13]. The objective of wiener filter is to find the estimates to make a statistical error function to be minimized as Equ.…”

Section: Wiener Filtermentioning

confidence: 99%

Artificial Bee Colony Algorithm for Image Restoration

Yang¹,

Hu²,

Yu³

2016

Proceedings of the 2016 4th International Conference on Electrical &Amp; Electronics Engineering and Computer Science (ICEEECS

View full text Add to dashboard Cite

This paper proposes a new method for image restoration using artificial bee colony algorithm (ABC algorithm). ABC algorithm combined with wiener filter is used to restore image. In the fuzzy identification, ABC algorithm is used for optimization the point spread function (PSF). In the restoring part, wiener filter is used for image restoration. Proposed method overcomes the problem of the traditional image restoring, which needs to know the PSF in advance. In addition, this method improves the performance of the traditional ABC algorithm by initializing the first group of bee colony. The pretreatment can reduce the randomness and improve the performance of ABC algorithm. Experimental results showed that the proposed method is effective for image restoration. Artificial bee colony (ABC) algorithm Artificial bee colony algorithm was first introduced by Dervis Karaboga and Basturk in 2005 for solving numerical optimization problems [5]. ABC algorithm has achieved better results on the optimization problems [6-9]. The bee colony consists of three kinds of bees: employed bees,

show abstract

“…Some of the filtering techniques include Wiener filtering and wave atom transform used in degraded images and those affected by noise, blur, etc. [4,23].…”

Section: Introductionmentioning

confidence: 99%

Linear Regression Supporting Vector Machine and Hybrid LOG Filter-Based Image Restoration

Basha

Venkateswarlu

2019

Journal of Intelligent Systems

View full text Add to dashboard Cite

Abstract The image restoration (IR) technique is a part of image processing to improve the quality of an image that is affected by noise and blur. Thus, IR is required to attain a better quality of image. In this paper, IR is performed using linear regression-based support vector machine (LR-SVM). This LR-SVM has two steps: training and testing. The training and testing stages have a distinct windowing process for extracting blocks from the images. The LR-SVM is trained through a block-by-block training sequence. The extracted block-by-block values of images are used to enhance the classification process of IR. In training, the imperfections on the image are easily identified by setting the target vectors as the original images. Then, the noisy image is given at LR-SVM testing, based on the original image restored from the dictionary. Finally, the image block from the testing stage is enhanced using the hybrid Laplacian of Gaussian (HLOG) filter. The denoising of the HLOG filter provides enhanced results by using block-by-block values. This proposed approach is named as LR-SVM-HLOG. A dataset used in this LR-SVM-HLOG method is the Berkeley Segmentation Database. The performance of LR-SVM-HLOG was analyzed as peak signal-to-noise ratio (PSNR) and structural similarity index. The PSNR values of the house and pepper image (color image) are 40.82 and 36.56 dB, respectively, which are higher compared to the inter- and intra-block sparse estimation method and block matching and three-dimensional filtering for color images at 20% noise.

show abstract

A rapid hybrid algorithm for image restoration combining parametric Wiener filtering and wave atom transform

Cited by 16 publications

References 18 publications

Robust Image Restoration using Non-Local Graph Based Transform and Wave Atoms

Robust Image Restoration using Non-Local Graph Based Transform and Wave Atoms

Artificial Bee Colony Algorithm for Image Restoration

Linear Regression Supporting Vector Machine and Hybrid LOG Filter-Based Image Restoration

Contact Info

Product

Resources

About