Region Based Adaptive Contrast Enhancement of Medical X-Ray Images

Kanwal, Navdeep; Girdhar, Akshay; Gupta, Savita

doi:10.1109/icbbe.2011.5780221

Cited by 28 publications

(22 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To achieve Global contrast stretching every single color palate range is considered. For RGB color only a single value will be returned for minimum and maximum respectively on the combination of distinct RGB colors which will be used up in the process of contrast stretching [7].…”

Section: Local and Global Contrast Stretching (Lcs)mentioning

confidence: 99%

See 1 more Smart Citation

Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing

Kaur¹,

Aggarwal²

2018

IJCA

View full text Add to dashboard Cite

Contrast enhancement is considered as one of the interesting as well as the visually appealing technique used for enhancement of contrast of an image. It is involved in the area of image processing where several operations such as enhancing contrast, reduction of noise for improved quality of the images are measured. There is a number of contrast enhancement techniques are available and proposed by several researchers. Considering, this paper provided a survey of different contrast enhancement such as HE, BBHE, DSIHE, MMBEBHE, RMSHE, MHE, BPDHE and LCS and Low pass and High pass filtering techniques.

show abstract

Section: Local and Global Contrast Stretching (Lcs)mentioning

confidence: 99%

“…Nearly all the components in Fourier Transformation that corresponds to high frequency are removed by such filters which are distant from the Transform origin with distance greater than the mentioned distance D [7]. The transfer function of an ideal Low-pass filter is given below:…”

Section: Ideal Low-pass Filtersmentioning

confidence: 99%

Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing

Kaur¹,

Aggarwal²

2018

IJCA

View full text Add to dashboard Cite

show abstract

“…The particular recommended procedure is often a simple color image enhancement technique in which the selection of the particular R,G,B channels can be optimally conserved. Kanwal and Navdeep [2] handled form a contrast enhancement involving X-Ray photographs and gifts here a new strategy regarding form a contrast enhancement dedicated to Adaptive Neighborhood method. Any corner technique regarding enhancement have been presented.…”

Section: Literture Surveymentioning

confidence: 99%

Integrated Dominant Brightness Level Analysis and Guided Image Filter for Satellite Image Enhancement

Bhatia¹,

Aulakh²

2015

IJCA

View full text Add to dashboard Cite

In digital image processing, image enhancement contributes a vital role. It is a procedure used for the modification of digital images. It is one of the essential vision applications which have ability to improve the visibility of images. It is used to enhance the superiority of poor images and low quality images into the high-quality images so that images can be much clearer for human observation. The key purpose of this dissertation has been to explore and verify the limitations of the existing image enhancement procedures. Several techniques have been predictable so far to enhance the superiority of the digital images. To enhance the photograph quality, image enhancement improves and bound various facts available in the input image. Several procedures have been projected so far for improving the satellite image enhancement; which may decrease the intensity of the original satellite image. To overcome this problem we have introduced an integrated approach. To evaluate the performance of dominant brightness level based image enhancement technique, several parameters has been used like Bit Error Rate, Cross Correlation and Average Difference.

show abstract

“…It is the most useful imaging modality to check for the bone fractures and other related anomalies. Though there are numerous advantages of X-ray technology, but it generates low contrast images [1]. In addition to the X-ray penetration characteristics, X-ray image contrast is significantly affected by scattered radiation and the contrast characteristics of the receptor and display system.…”

Section: Introductionmentioning

confidence: 99%

X-ray Image Contrast Enhancement Using the Second Generation Curvelet Transform

Huo

2012

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. In this paper, a novel X-ray image contrast enhancement method using the second generation curvelet transform is proposed in order to better enhance contrast and edges while remove noise. First, source images are decomposed in the curvelet transform domain. A nonlinear enhancement operator is applied to low frequency subbands to enhance global contrast. Combining with threshold denoising, the nonlinear enhancement operator is also applied to high frequency subbands to enhance edges and reduce noise. Finally, the processed coefficients are reconstructed to obtain enhanced images. Experimental results on X-ray images show that compared with histogram equalization and wavelet based contrast enhancement, the proposed method can effectively enhance contrast and edges of X-ray images while better reducing noise, thus has better visual effect.

show abstract

Region Based Adaptive Contrast Enhancement of Medical X-Ray Images

Cited by 28 publications

References 7 publications

Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing

Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing

Integrated Dominant Brightness Level Analysis and Guided Image Filter for Satellite Image Enhancement

X-ray Image Contrast Enhancement Using the Second Generation Curvelet Transform

Contact Info

Product

Resources

About