A Direct Image Contrast Enhancement Algorithm in the Wavelet Domain for Screening Mammograms

Tang, Jinshan; Liu, Xiaoming; Sun, Qingling

doi:10.1109/jstsp.2008.2011108

Cited by 119 publications

(47 citation statements)

References 29 publications

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“…Establishment of a suitable image contrast measure is the key step of direct image enhancement.Cheng et al proposed Adaptive fuzzy logic contrast enhancement method which is based on fuzzy entropy principle which transforms the image to a fuzzy domain, and computes the fuzzy entropy and measures the local contrast [3].Rangayyan et al proposed Adaptive neighborhood contrast enhancement technique on measurement of local contrast [4]. In [5], Tang et al, proposed a multiscale local contrast measure in the wavelet domain which enhances the details in different scales. This makes the method suitable for the detection of calcifications that exist in different scales.…”

Section: Direct Contrast Enhancement Techniquesmentioning

confidence: 99%

Mammographic Image Enhancement Using Indirect Contrast Enhancement Techniques – A Comparative Study

Akila¹,

Jayashree²,

Vasuki³

2015

Procedia Computer Science

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Contrast enhancement is an important issue in the field of mammographic image processing. It can be classified into two categories: direct contrast enhancement and in direct contrast enhancement. Indirect contrast enhancement involves in modifying histogram of the image. Histogram equalization (HE) is the simplest indirect contrast enhancement technique which is widely used for contrast enhancement. Many variants of HE are proposed so far. Comparison of these techniques is significantly essential in deciding a suitable algorithm for enhancement and further processing. In this paper we applied few indirect contrast enhancement techniques namely histogram equalization, CLAHE, BBHE, RMSHE, MMBEBHE to preprocess the mammographic images. The performance of the methods is measured using effective measure of enhancement (EME) and peak signal to noise ratio (PSNR).

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Section: Direct Contrast Enhancement Techniquesmentioning

confidence: 99%

Mammographic Image Enhancement Using Indirect Contrast Enhancement Techniques – A Comparative Study

Akila¹,

Jayashree²,

Vasuki³

2015

Procedia Computer Science

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“…We also investigated the effect of iteration on the performance of both filters. In order to measure the performance of both filters, we used a contrast measure for the quantitative analysis 18 . The contrast measure in a 3-D image can be defined as…”

Section: Filter Comparisonmentioning

confidence: 99%

3D cluster-driven trilateral filter for speckle reduction in ultrasound images

Tang

2015

SPIE Proceedings

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We propose a cluster-driven trilateral filter for speckle reduction in ultrasound images. In addition to operating in the spatial dimension and the intensity dimension, the proposed filter also merges clustering information simultaneously. We compare the proposed filter with a normalized bilateral filter for speckle reduction using real 3-D ultrasound images. Our experimental results indicate that the cluster-driven trilateral filter exhibits better performance for speckle reduction and edge feature preservation than the normalized bilateral filter. In addition, we investigate the graphic processing unit (GPU) technique and apply it to the proposed 3-D filter. We design and test a GPU framework and compare it with a single-core CPU framework. Our experimental results show that the GPU-accelerated trilateral filter can obtain a roughly 20-fold increase in speed.

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“…The wavelet transform has been widely used for texture segmentation [20] and face [21], fingerprint [22], and mammogram enhancement [23]. In [24], a wavelet-based dynamic range compression algorithm is proposed for aerial images.…”

Section: Related Workmentioning

confidence: 99%

Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems

Karali

Okman

Aytaç

2011

Infrared Physics & Technology

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A Direct Image Contrast Enhancement Algorithm in the Wavelet Domain for Screening Mammograms

Cited by 119 publications

References 29 publications

Mammographic Image Enhancement Using Indirect Contrast Enhancement Techniques – A Comparative Study

Mammographic Image Enhancement Using Indirect Contrast Enhancement Techniques – A Comparative Study

3D cluster-driven trilateral filter for speckle reduction in ultrasound images

Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems

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