Medical Image De-Noising Schemes Using Different Wavelet Threshold Techniques

Mustafa, Nadir; Khan, Saeed Ahmed; Li, Jiang Ping; Elsir, Mohamed Tag

doi:10.14569/ijacsa.2015.061108

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…In 1976 Croiser, Esteban, and Galand proposed an effective technique to decompose the discrete time signals called discrete wavelet transform (DWT) [13]. The DWT analyse the signal based on powers of 2.The DWT can be efficiently implemented with high pass and low pass filters proposed by Mallat [14].…”

Section: Wavelet Denoisingmentioning

confidence: 99%

Agro Image De Noising (Aid) for Enhanced Agricultural Images

Muthiah,

Senthilrajan

2019

IJEAT

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Several Noises may be present in acquired images. This is an undesired feature for image processing techniques that analyze these images. Image de-noising helps improve efficiency of image processing. Many image de-noising methods have been proposed and exist in literature. Image de-noising methods for agricultural images have been proposed to a lesser extent when compared to the bright medical or photographic images. This paper proposes Agricultural Image De-noising (AID) which uses a discrete wavelet transform (DWT) to eliminate noise in agricultural images. This study uses specific kind of wavelet family spline wavelet transforms with appropriate decomposition level and the wavelet coefficients are analysed with hard and soft threshold methods. The denoised image using various spline wavelets is compared of hard threshold and soft threshold are assessed. The performance of AID is calculated using the peak signal to noise ratio (PSNR) and signal to noise ratio (SNR).

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Section: Wavelet Denoisingmentioning

confidence: 99%

Agro Image De Noising (Aid) for Enhanced Agricultural Images

Muthiah,

Senthilrajan

2019

IJEAT

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“…In medical image Baye's threshold removes the noise in better way and also maintains all the information of an image. Baye's threshold has used to perform well than the soft and hard threshold [18]. In medical compression Adaptive median filter produces the high quality image with high PSNR in both compression and decompression process [19].…”

Section: Introductionmentioning

confidence: 99%

Image Preservation using Wavelet Based On Kronecker Mask, Birge - Massart And Parity Strategy

Chithra¹,

Tamilmathi²

2019

IJITEE

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Image carries more information about the ideas than text. Growth of social media, images has become the universal language because it is more interactive. Images are used in different fields like medical, multimedia, industries etc. When using the images, we need to find effective storage and transmission methods to reduce storage size and transmission time. Lossless and lossy are two ways to compress the image to reduce the storage and transmission time. The proposed method implements the concept of lossless image compression using the method of Kronecker delta notation, wavelet based on Birge-Massart strategy and parity strategy. This paper presents that enhancing the image by applying the Kronecker delta notation as the mask and applying the wavelet based on Birge-Massart strategy, finally applying the parity threshold to compress the image. The proposed method is compared the compression ratio (CR) with the existing lossless compression methods such as Birge – Massart without the enhanced method and Unimodal method. This proposed algorithm is very simple and more efficient to reduce the storage capacity and maintain the quality of an image than the existing lossless compression techniques. The experimental result shows that the Birge-Massart strategy combined with Kronecker mask and parity threshold produces the best CR than the simple Birge- Massart(without enhancement and threshold) strategy. This efficient method is proved by without loss of information of an original image with low MSE, high PSNR and high CR. An experimental result shows that the proposed algorithm achieved maximum CR of 146% on medical images and maximum CR of 19.2% on standard images than the existing methods.

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Medical Image De-Noising Schemes Using Different Wavelet Threshold Techniques

Cited by 2 publications

References 9 publications

Agro Image De Noising (Aid) for Enhanced Agricultural Images

Agro Image De Noising (Aid) for Enhanced Agricultural Images

Image Preservation using Wavelet Based On Kronecker Mask, Birge - Massart And Parity Strategy

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