Browsing by Author "Husain, F."

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A robust framework for de-speckling of optical coherence tomography images
(Science and Engineering Research Support Society ijbsbt@sersc.org PO Box 5014Sandy Bay TAS 7005 Tasmania, 2020) Gupta, P.K.; Lal, S.; Husain, F.
Recently, Optical Coherence Tomography (OCT) is emerging as a important diagnostic tool in medical application. OCT is widely used in detection of vision-related diseases. The analysis of retinal OCT images are very difficult due to speckle noise. The characteristic nature of this noise is multiplicative. A Number of de-speckling methods was proposed in the last few decades. All the existing de-speckling methods reduce the speckle noise, but these methods are not able to preserve the structure of the OCT image during de-speckling process. This paper propose a robust framework using wiener filter, soft thresholding and a weighted guided filter along with wavelet decomposition for the purpose of speckle noise reduction. The main contribution of this research is to remove speckle noise and preserve the structure of OCT image during de-noising process. In the first step of proposed framework, the original image is filtered by the wiener filter. After that a logarithmic transformation is used for the conversion of multiplicative noise into additive noise. Discrete wavelet transform (DWT) decompose the image into its constituents. Soft thresholding and weighted guided filter is used for high frequency sub-image and low frequency sub-image part respectively. In the last inverse DWT and antilog transformation are applied to acquire the de-noised image. Two different experiments are performed one on real OCT Images and other on natural images, to demonstrate the usefulness of the proposed framework. © 2020 SERSC.
Artificial Bee Colony Optimization Based Despeckling Framework for Ultrasound Images
(Eastern Macedonia and Thrace Institute of Technology, 2020) Gupta, P.K.; Lal, S.; Husain, F.
This paper proposed an artificial bee colony optimization (ABC) algorithm based despeckling framework to overcome the effect of speckle noise present in real ultrasound images. A low pass filter and fast non-local mean filter along with Artificial Bee Colony (ABC) optimization algorithm are used for the quality enhancement of ultrasound images. The output results obtained for the real ultrasound images filtered with the proposed approach and the other most studied approaches discussed in the literature. The outperformance of the proposed method is verified by calculation of peak signal to noise ratio (PSNR), mean square error (MSE), mean absolute error (MAE), and structure similarity index (SSIM) quality measures. The proposed filtering approach is tested on eight real clinical ultrasound images of adrenal gland, appendicitis, bladder, pancreas, parathyroid gland, scrotal gland, thoracic wall, and uterus. The experimental results yield that the quantitative and qualitative results of the proposed framework are better than benchmark despeckling methods compared to real ultrasound images. Further, the proposed framework also preserves the fine details in real ultrasound images. © 2020 All Rights Reserved
Performance analysis of despeckling filters for retinal optical coherence tomography images
(2018) Gupta, P.K.; Lal, S.; Husain, F.
This paper presents performance analysis of different despeckling filters used for denoising of the optical coherence tomography (OCT) Images. Currently OCT imaging is one of the best technique used in biomedical application to detect the abnormality in the human eye. OCT images normally suffer from granular patterns called speckle noise. Speckle noise is an inherent property of an OCT images which affects the visual quality of the images, hence difficult to diagnosis the patients. Therefore, speckle noise reduction from the OCT images is an important prerequisite, whenever OCT imaging is used for diagnosis. Here, a comparative analysis of different despeckling filters used for the denoising of OCT images is presented. The speckle noise intensity is depends on the various imaging system parameters and on the different structure representations used for the image tissues. A denoising technique is to be designed in such a way that it should be able to reduce the speckle noise from the OCT images while preserve the tissues and fine details of the images. � 2018 IEEE.
Performance analysis of despeckling filters for retinal optical coherence tomography images
(Institute of Electrical and Electronics Engineers Inc., 2018) Gupta, P.K.; Lal, S.; Husain, F.
This paper presents performance analysis of different despeckling filters used for denoising of the optical coherence tomography (OCT) Images. Currently OCT imaging is one of the best technique used in biomedical application to detect the abnormality in the human eye. OCT images normally suffer from granular patterns called speckle noise. Speckle noise is an inherent property of an OCT images which affects the visual quality of the images, hence difficult to diagnosis the patients. Therefore, speckle noise reduction from the OCT images is an important prerequisite, whenever OCT imaging is used for diagnosis. Here, a comparative analysis of different despeckling filters used for the denoising of OCT images is presented. The speckle noise intensity is depends on the various imaging system parameters and on the different structure representations used for the image tissues. A denoising technique is to be designed in such a way that it should be able to reduce the speckle noise from the OCT images while preserve the tissues and fine details of the images. Â© 2018 IEEE.
Two dimensional cuckoo search optimization algorithm based despeckling filter for the real ultrasound images
(Springer Science and Business Media Deutschland GmbH, 2024) Gupta, P.K.; Lal, S.; Kiran, M.S.; Husain, F.
A clinical ultrasound imaging plays a significant role in the proper diagnosis of patients because, it is a cost-effective and non-invasive technique in comparison with other methods. The speckle noise contamination caused by ultrasound images during the acquisition process degrades its visual quality, which makes the diagnosis task difficult for physicians. Hence, to improve their visual quality, despeckling filters are commonly used for processing of such images. However, several disadvantages of existing despeckling filters discourage the use of existing despeckling filters to reduce the effect of speckle noise. In this paper, two dimensional cuckoo search optimization algorithm based despeckling filter is proposed for avoiding limitations of various existing despeckling filters. Proposed despeckling filter is developed by combining fast non-local means filter and 2D finite impulse response (FIR) filter with cuckoo search optimization algorithm. In the proposed despeckling filter, the coefficients of 2D FIR filter are optimized by using the cuckoo search optimization algorithm. The quantitative results comparison between the proposed despeckling filter and other existing despeckling filters are analyzed by evaluating PSNR, MSE, MAE, and SSIM values for different real ultrasound images. Results reveal that the visual quality obtained by the proposed despeckling filter is better than other existing despeckling filters. The numerical results also reveal that the proposed despeckling filter is highly effective for despeckling the clinical ultrasound images. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.