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Chapter and Conference Paper
Combination of Wavelet Transform and Morphological Filtering for Enhancement of Magnetic Resonance Images
Brain tumor is an abnormal mass of tissue with uncoordinated growth inside the skull which may invade and damage nerves and other healthy tissues. Limitations posed by the image acquisition systems leads to th...
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Chapter and Conference Paper
A Novel Full Reference Image Quality Index for Color Images
This paper presents a new full reference image quality index for objective evaluation of color images in perceptually consistent manner with Human Visual System (HVS) characteristics. The quality index propose...
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Chapter and Conference Paper
A New Unsharp Masking Algorithm for Mammography Using Non-linear Enhancement Function
Mammography is especially valuable as an early detection tool because it can identify breast cancer at a stage when treatment may be more effective. This paper introduces a new Unsharp Masking (UM) algorithm u...
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Chapter and Conference Paper
A New Contrast Measurement Index Based on Logarithmic Image Processing Model
With the introduction of more complex enhancement algorithms, there is a need for an effective method of enhancement measurement that can assess image quality in accordance with Human Visual System (HVS) chara...
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Chapter and Conference Paper
A Novel HVS Based Image Contrast Measurement Index
Image quality assessment based on HVS has become an important means to evaluate the degree of enhancement provided by contrast manipulation algorithms. In this paper a perceptual quality evaluation model using...
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Chapter and Conference Paper
An Improved Algorithm for Noise Suppression and Baseline Correction of ECG Signals
Testing and analysis of Electrocardiogram (ECG) signals is one of the major requirements for clinical diagnosis of cardiovascular diseases and deciding future therapies. ECG being a weak non-stationary signal ...
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Chapter and Conference Paper
An Edge Detection Approach for Images Contaminated with Gaussian and Impulse Noises
Color edge detection is preferred to grayscale edge detection because edges existing at the boundary separating regions of different textures which cannot be detected (in case of grayscale images) if there are...
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Chapter and Conference Paper
Despeckling of SAR Images via an Improved Anisotropic Diffusion Algorithm
Synthetic Aperture Radar (SAR) is a powerful tool for producing high-resolution images but these images are highly contaminated with speckle noise. This paper proposes an improved Anisotropic Diffusion Algorit...
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Chapter and Conference Paper
A Composite Wavelets and Morphology Approach for ECG Noise Filtering
Noisy ECG signals contain variations in the amplitudes or in the time intervals which represents the abnormalities associated with the heart; thereby making visual diagnosis difficult for cardiovascular diseas...
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Chapter and Conference Paper
Design of New Volterra Filter for Mammogram Enhancement
Non-linear filters are generally preferred for image enhancement applications as they provide better filtering results not only by suppressing background noise but also preserving the edges. This paper introdu...
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Chapter and Conference Paper
A New Morphological Filtering Algorithm for Pre-Processing of Electrocardiographic Signals
Pre-Processing of Electrocardiographic (ECG) signals involves the baseline wander elimination and impulse noise filtering to facilitate automated analysis. In this paper a new morphological filtering algorithm...
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Chapter and Conference Paper
An Evaluation of Edge Detection Algorithms for Mammographic Calcifications
Edge detection is an important module in medical imaging for diagnostic detection and extraction of features. The main limitation of the existing evaluation measures for edge detection algorithms is the requir...
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Chapter and Conference Paper
A Novel Color Edge Detection Technique Using Hilbert Transform
This paper presents a new technique for edge detection in color images, employing the concept of Hilbert transform. The color image at the input is initially transformed using a RGB color triangle, followed by...
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Chapter and Conference Paper
A Reconstruction Based Measure for Assessment of Mammogram Edge-Maps
Performance evaluation of for mammogram edge-maps is difficult because of the absence of reference image for comparison. This paper presents a novel approach for assessment of edge enhanced mammograms containi...
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Chapter and Conference Paper
Contrast Improvement of Mammographic Masses Using Adaptive Volterra Filter
Due to ill-performance of X-ray hardware systems, mammographic images are generally noisy with poor radiographic resolution. This leads to improper visualization of lesion details. This paper presents an impro...
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Chapter and Conference Paper
A Novel Weighted Diffusion Filtering Approach for Speckle Suppression in Ultrasound Images
Ultrasound images mainly suffer from speckle noise which makes it difficult to differentiate between small details and noise. Conventional anisotropic diffusion approaches tend to provide edge sensitive diffus...
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Chapter and Conference Paper
An Improved Local Statistics Filter for Denoising of SAR Images
Synthetic Aperture Radar (SAR) is an active remote sensing system which is utilized for producing high-resolution images. But due to backscattering of microwave signals, these images get contaminated with spec...
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Chapter and Conference Paper
Performance Improvement of Decision Median Filter for Suppression of Salt and Pepper Noise
Integration of decision based schemes with median filtering has been applied previously in numerous works to identify and process only the corrupted pixels during image denoising. However, these approaches are...
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Chapter and Conference Paper
Fast SSIM Index for Color Images Employing Reduced-Reference Evaluation
Image quality assessment employing reduced-reference estimation approaches evaluate the perceived quality with only partially extracted features of the reference image. The primary aim of these approaches is t...
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Chapter and Conference Paper
A Modified Speckle Suppression Algorithm for Breast Ultrasound Images Using Directional Filters
Speckle noise in ultrasound images (US) is a serious constraint leading to false therapeutic decision making in computer aided diagnosis. This highlights the utility of speckle suppression along with due prese...
