Image Enhancement Techniques using Highpass and Lowpass Filters

Makandar, Aziz; Halalli, Bhagirathi

doi:10.5120/19256-0999

Cited by 58 publications

(40 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The evaluation of image quality is crucial for medical imaging systems such as compression, transmission and enhancement [17][18][19][20] The strong reason is for using wiener filter and CLAHE for image enhancement. Comparing the median filter, adaptive min max and wiener filter we got high PSNR for all the images tested as shown is the figure 4.…”

Section: Resultsmentioning

confidence: 99%

Pre-processing of Mammography Image for Early Detection of Breast Cancer

Makandar¹,

Halalli²

2016

IJCA

Self Cite

View full text Add to dashboard Cite

Breast cancer is one of the most prevalent causes of death among women worldwide. Hence, the early detection helps to save the life of the women. Mammography is the basic screening test for breast cancer. It consist many artefacts, which negatively influences in detection of the breast cancer. Therefore, removing artefacts and enhancing the image quality is a required process in Computer Aided Diagnosis (CAD) system. The accuracy and efficiency of the CAD is increased by providing exact Region of Interest (ROI). Extracting ROI is a challenging task in preprocessing because the presence of pectoral muscle influences the detection of abnormality. Here, the proposed show that the wiener filter and Contrast Limited Adaptive Histogram Equalization (CLAHE) techniques efficiently aids for enhancing the quality of the image, thereby it also removes the unwanted background and the pectoral muscle by using thresholding and modified region growing technique respectively. Furthermore, the proposed algorithm was tested on mini-MIAS database; the result obtained was compared with completeness and correctness for pectoral muscle removal and was reported as 98% and 97% respectively. Collectively, these results suggest that the proposed method is well suited for improving the quality of mammography image for Auto-CAD system.

show abstract

Section: Resultsmentioning

confidence: 99%

Pre-processing of Mammography Image for Early Detection of Breast Cancer

Makandar¹,

Halalli²

2016

IJCA

Self Cite

View full text Add to dashboard Cite

show abstract

“…High-pass filters are used for edge detection of the given image. It works by detecting interruptions in luminosity [4].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Basically it is divided into two broad categories': First one is the spatial domain method-this method directly deals with pixel manipulation; and the second one is the frequency domain method [3]. The frequency domain method decomposes the image into a signal via Fourier transforms [4]. After that it instantly inverses the transform to get the desired image as a result.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Because at some point the transition between one color to the other cannot be defined precisely, due to which the ringing effect appears at that point. The assignment function of two-dimensional Gaussian Low-pass filter (GLPF) is specified by [4] (15) …”

Section: Gaussian Low-pass Filtermentioning

confidence: 99%

“…Gaussian high pass filter has the same concept as ideal high pass filter; but again the transition is smoother as compared to the ideal one. The assignment function of two-dimensional Gaussian Low-pass filter (GHPF) is specified by [4] (17)…”

Section: Gaussian High-pass Filtermentioning

confidence: 99%

See 2 more Smart Citations

Analysis of Image Enhancement Techniques Used in Remote Sensing Satellite Imagery

Bajpai¹,

Soni²

2017

IJCA

View full text Add to dashboard Cite

Satellite Imagery is used in various research domains. These images contain major quality issues. However, it can be improvised by image enhancement algorithms in terms of contrast, brightness, feature reduction from noise contents, etc. These algorithms are employed to focus, sharp or smooth image to exhibit and examine the image attributes. Hence, the objective of image enhancement depends on the precise application. The objective of this paper is to provide brief information about the image enhancement techniques; which fetches progressive and optimum results for remote-sensing satellite imagery. To achieve this end, we perform various image enhancement algorithms, which are popular in present scenario to boost the quality of the images in several application areas of image processing.

show abstract