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Speckle Noise Reduction in Ultrasound Images by Wa
no vote
In medical image processing, image denoising has become a very essential
exercise all through the diagnose. Arbitration between the perpetuation of useful
diagnostic information and noise suppression must be treasured in medical images.
In general we rely on the intervention of a proficient to control the quality of
processed images. In certain cases, for instance in Ultrasound images, the
noise can restrain information which is valuable for the general practitioner. Consequently
medical images are very inconsistent, and it is crucial to operate case to
case. This paper presents a wavelet-based thresholding scheme for noise
suppression in ultrasound images. Quantitative and qualitative comparisons of the
results obtained by the proposed method with the results achieved from the
other speckle noise reduction techniques demonstrate its higher performance for
speckle reduction
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An Image Fusion Approach Based on Markov Random Fi
no vote
Markov random field (MRF) models are powerful tools to model image
characteristics accurately and have been successfully applied to a large number
of image processing applications. This paper investigates the problem of fusion
of remote sensing images, e.g., multispectral image fusion, based on MRF models
and incorporates the contextual constraints via MRF models into the fusion
model. Fusion algorithms under the maximum a posteriori criterion are developed to search for
solutions. Our algorithm is applicable to both multiscale decomposition (MD)- based
image fusion and non-MD-based image fusion. Experimental results are provided
to demonstrate the improvement of fusion performance by our algorithms.
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Liver Tumor Diagnosis by Gray Level and Contourlet
4.0
Liver cancer is life
threatening and occurs without prewarning, considered one of the most common
internal malignancies worldwide. Abnormal growths on the liver are called liver
tumors, which could be both benign and malignant. Benign tenors do not really
cause harm to one's health whereas malignant tumors can be dangerous. Hence, it
is necessary to detect and diagnose malignant twnors, so that early treatment
can save many lives. However, early diagnosis requires a large volume of
abdominal CT images to be interpreted which is laborious and a repetitive task.
In order to introduce a quantitative and objective analysis and to speed up analysis
times, it is possible to develop a CAD tool that automatically analyzes liver
tumours. Computed tomography
image based Computer Aided Diagnosis (
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A Robust Algorithm for Shadow Removal of Foregroun
4.0
We proposed an accurate algorithm to prevent moving shadows from being misclassified as part of moving
objects in video target segmentation in this paper. Firstly, moving objects were achieved through background subtraction
using adaptive Gaussian mixture models. Then, moving shadows were eliminated by a shadow detection algorithm.
Finally, we performed a morphological reconstruction algorithm to recover the foreground distorted after shadow
removal process. The experimental results proved its validity and accuracy in various fixed outdoor video scenes.
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Removal High Density Salt & Pepper Noise in quick
no vote
In the Transmission of images over
channels, Images are corrupted by salt and pepper noise, due to faulty
communications. Salt and Pepper noise is also referred to as Impulse noise. The
objective of filtering is to remove the impulses so that the noise free image
is fully recovered with minimum signal distortion. The
best-known and most widely used non-linear digital filters, based on order
statistics are median filters. Median filters are known for their capability to
remove impulse noise without damaging the edges. Median filters are known for
their capability to remove impulse noise as well as preserve the edges. balu164727 2016-08-23
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Color Image Enhancement with a Human Visual System
no vote
Image enhancement technology is one of the basic technologies in the field of image processing. The purpose of image enhancement is to improve the interpretability of information or perceive the human audience in the image, or provide better input for other automatic image processing technologies. In recent years, gray image enhancement technology has developed rapidly. These algorithms have a certain effect of gray image enhancement. However, we usually deal with color images in our daily life. Due to many factors, such as the limited dynamic range, the influence of lighting and the display device, the quality of the image obtained decreases, which means that many important information is difficult to be told to the eyes. At the same time, it is not suitable for direct use of gray image enhancement technology of color image. Therefore, we need to develop color image enhancement technology to deal with the problem. Compared with gray image, color image still has color information, so the color image is more vivid than gray image. Now, many color image enhancement algorithms have been proposed based on the characteristics of human vision. Retinex is an effective technology for color image enhancement, which can produce good enhancement effect. However, the enhanced image has color distortion and complicated calculation. A robust color image enhancement algorithm. The algorithm can improve the color image without distortion, but the edge of the color image can not be handled well. The algorithm uses Gaussian filter to estimate the background image. Gaussian kernel function is isotropic, which will lead to inaccurate estimation of background image, resulting in halo phenomenon. The proposed algorithm consists of three main parts: (1) obtaining brightness image and background image, (2) adaptive adjustment, (3) color restoration.
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SVD-based digital image watermarking using complex
no vote
A new robust
method of non-blind image watermarking is proposed in this paper. The suggested
method is performed by modification on singular value decomposition (SVD) of
images in Complex Wavelet Transform (CWT) domain while CWT provides higher
capacity than the real wavelet domain. Modification of the appropriate
sub-bands leads to a watermarking scheme which favourably preserves the
quality. The additional advantage of the proposed technique is its robustness
against the most of common attacks. Analysis and experimental results show much
improved performance of the proposed method in comparison with the pure
SVD-based as well as hybrid methods (e.g. DWT-SVD as the recent best SVD-based
scheme).
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Satellite Image Contrast Enhancement Using Discret
no vote
A new satellite image contrast enhancement technique based on discrete wavelet transform (DWT) and singular value decomposition (SVD) are proposed. The technique decomposes the image into four input frequencies for subband decomposition by using discrete wavelet transform and estimated low noise—— Then, it is compared with the conventional image equalization techniques, such as general histogram equalization and local histogram equalization, and brightness preserving dynamic histogram equalization and singular value equalization. The experimental results show that this method is superior to conventional and advanced technology.
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IMAGE RETRIEVAL USING BOTH COLOR AND TEXTURE FEATU
4.0
This PROJECT has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation,
Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space
in non-equal intervals, constructing one dimension feature vector and representing the color feature by cumulative
histogram. Similarly, the work of texture feature extraction is obtained by using gray-level co-occurrence matrix (GLCM) or
color co-occurrence matrix (CCM). Through the quantification of HSV color space, we combine color features
and GLCM as well as CCM separately. Depending on the former, image retrieval based on multi-feature fusion is
achieved by using normalized Euclidean distance classifier. Through the image retrieval experiment, indicate that the use
of color features and texture based on CCM has obvious advantage.
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CMOS FULL-ADDERS DESIGN USING DPL LOGIC
no vote
We present two high-speed
and low-power full-adder cells designed with an alternative internal logic
structure and pass-transistor logic styles that lead to have a reduced
power-delay product (PDP). We carried out a comparison against other
full-adders reported as having a low PDP, in terms of speed, power consumption
and area. All the full-adders were designed with a 0.18- m CMOS technology, and
were tested using a comprehensive test bench that allowed to measure the
current taken from the full-adder inputs, besides the current provided from the
power-supply. Post-layout simulations show that the proposed full-adders
outperform its counterparts exhibiting an average PDP advantage of 80%, with
only 40% of relative area.
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