Quantum Noise Removal from Breast Mammograms Using Genetic Programming based Hybrid Ensemble Filter

2016 ◽  
Vol 12 (4) ◽  
pp. 298-303 ◽  
Author(s):  
Muhammad Jaffar
Keyword(s):  
Genetic Programming ◽  
Quantum Noise ◽  
Noise Removal

INVESTIGATION OF HISTOGRAM EQUALIZATION FILTER FOR CT SCAN IMAGE ENHANCEMENT

2019 ◽  
Vol 31 (05) ◽  
pp. 1950038
Author(s):  
Ayesha Amir Siddiqi ◽  
Ghous Bakhsh Narejo ◽  
Mashal Tariq ◽  
Adnan Hashmi
Keyword(s):  
Image Enhancement ◽  
Quantum Noise ◽  
Signal To Noise Ratio ◽  
Histogram Equalization ◽  
Noise Removal ◽  
Ct Images ◽  
Liver Tumour ◽  
Clinical Images ◽  
Computed Tomographic ◽  
Equalization Method

This piece of work investigates the application of histogram equalization method to clinical images for noise removal and efficient image enhancement without any information loss. Computed tomographic (CT) images of the abdomen bearing liver tumour are kept under study. Liver exhibits heterogeneous combination of intensities which makes it a challenging task to enhance the liver tumour embedded in the image. Distortion occurs due to the presence of quantum noise in the CT scans and important information of the image is suppressed. The methodology adopted in this paper comprises of two stages. Initially pixel based intensity transformation is adopted for de-noising the background of the image by the selection of appropriate threshold levels. The resultant image gives a noise free background and the foreground features are enhanced. In the next stage histogram equalization filters are applied to the transformed image. The equalization method which gives uniform image enhancement with lesser mean square error (MSE) and increased peak signal to noise ratio (PSNR) is supposed to be an effective method for efficient enhancement of the images. This study deals with the application of histogram equalization methods to CT images which can aid the radiologists for better visualization and diagnosis of the disease.

MRT letter: Quantum noise removal and classification of breast mammogram images

2012 ◽  
Vol 75 (12) ◽  
pp. 1609-1612 ◽  
Author(s):  
M. Talha Naseem ◽  
Ghazali Bin Sulong ◽  
M. Arfan Jaffar
Keyword(s):  
Quantum Noise ◽  
Noise Removal ◽  
Mammogram Images

scholarly journals MRI Images Enhancement Using Genetic Programming Based Hybrid Noise Removal Filter Approach

2018 ◽  
Vol 14 (6) ◽  
pp. 867-873 ◽  
Author(s):  
Sajid Ullah Khan ◽  
Najeeb Ullah ◽  
Imran Ahmed ◽  
Wang Yin Chai ◽  
Amjad Khan
Keyword(s):  
Genetic Programming ◽  
Noise Removal ◽  
Filter Approach

A Shearlet-based algorithm for quantum noise removal in low-dose CT images

2016 ◽  
Author(s):  
Aguan Zhang ◽  
Huiqin Jiang ◽  
Ling Ma ◽  
Yumin Liu ◽  
Xiaopeng Yang
Keyword(s):  
Low Dose ◽  
Quantum Noise ◽  
Noise Removal ◽  
Ct Images ◽  
Low Dose Ct

Elastic Scattering in Electron Microscopy

1973 ◽  
Vol 31 ◽  
pp. 252-253
Author(s):  
J. Langmore ◽  
M. Isaacson ◽  
J. Wall ◽  
A. V. Crewe
Keyword(s):  
Electron Microscopy ◽  
Elastic Scattering ◽  
Cross Section ◽  
Quantum Noise ◽  
Dark Field ◽  
Elastic Cross Section ◽  
Biological Molecules ◽  
Dark Field Microscopy ◽  
Field Systems ◽  
Effects Of Radiation

High resolution dark field microscopy is becoming an important tool for the investigation of unstained and specifically stained biological molecules. Of primary consideration to the microscopist is the interpretation of image Intensities and the effects of radiation damage to the specimen. Ignoring inelastic scattering, the image intensity is directly related to the collected elastic scattering cross section, σɳ, which is the product of the total elastic cross section, σ and the eficiency of the microscope system at imaging these electrons, η. The number of potentially bond damaging events resulting from the beam exposure required to reduce the effect of quantum noise in the image to a given level is proportional to 1/η. We wish to compare η in three dark field systems.

To What Extent are Inelastically Scattered Electrons Useful in the Stem?

1973 ◽  
Vol 31 ◽  
pp. 286-287 ◽  
Author(s):  
H. Rose
Keyword(s):  
Electron Microscope ◽  
High Resolution ◽  
Electron Correlation ◽  
Quantum Noise ◽  
Collection Efficiency ◽  
Scanning Transmission Electron Microscope ◽  
Electron Cloud ◽  
Scanning Time ◽  
Transmission Electron ◽  
Scanning Transmission

The scanning transmission electron microscope offers the possibility of utilizing inelastically scattered electrons. Use of these electrons in addition to the elastically scattered electrons should reduce the scanning time (dose) Which is necessary to keep the quantum noise below a certain level. Hence it should lower the radiation damage. For high resolution, Where the collection efficiency of elastically scattered electrons is small, the use of Inelastically scattered electrons should become more and more favorable because they can all be detected by means of a spectrometer. Unfortunately, the Inelastic scattering Is a non-localized interaction due to the electron-electron correlation, occurring predominantly at the circumference of the atomic electron cloud.

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