A blind-deconvolution approach for chromatographic and spectroscopic peak restoration

Sarkar, Siddhartha; Dutta, Prasun; Roy, Nirjhar

doi:10.1109/19.744647

Cited by 21 publications

(9 citation statements)

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“…Later, an enhanced version of the Van Cittert algorithm was introduced, which employs a constant (b) to control its sharpening ability. The enhanced Van Cittert (EVC) equation is [21]:…”

Section: Related Workmentioning

confidence: 99%

Deblurring Computed Tomography Medical Images Using a Novel Amended Landweber Algorithm

Al-Ameen

Sulong

2015

Interdiscip Sci Comput Life Sci

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In computed tomography (CT), blurring occurs due to different hardware or software errors and hides certain medical details that are present in an image. Image blur is difficult to avoid in many circumstances and can frequently ruin an image. For this, many methods have been developed to reduce the blurring artifact from CT images. The problems with these methods are the high implementation time, noise amplification and boundary artifacts. Hence, this article presents an amended version of the iterative Landweber algorithm to attain artifact-free boundaries and less noise amplification in a faster application time. In this study, both synthetic and real blurred CT images are used to validate the proposed method properly. Similarly, the quality of the processed synthetic images is measured using the feature similarity index, structural similarity and visual information fidelity in pixel domain metrics. Finally, the results obtained from intensive experiments and performance evaluations show the efficiency of the proposed algorithm, which has potential as a new approach in medical image processing.

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“…Later, an enhanced version of the Van Cittert algorithm was introduced, which employs a constant (b) to control its sharpening ability. The enhanced Van Cittert (EVC) equation is [21]:…”

Section: Related Workmentioning

confidence: 99%

Deblurring Computed Tomography Medical Images Using a Novel Amended Landweber Algorithm

Al-Ameen

Sulong

2015

Interdiscip Sci Comput Life Sci

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“…Later, an enhanced version of the Van-Cittert algorithm was introduced, which employs a constant (β) to control its sharpening ability. The enhanced Van-Cittert (EVC) equation is (Sarkar et al, 1998):…”

Section: Related Workmentioning

confidence: 99%

Deblurring computed tomography medical images using a novel amended Landweber algorithm

Al-Ameen

Sulong

2015

Interdiscip Sci Comput Life Sci

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In computed tomography (CT), blurring occurs due to different hardware or software errors, and hides certain medical details that are present in an image. Image blur is difficult to avoid in many circumstances and can frequently ruin an image. For this, many methods have been developed to reduce the blurring artifact from CT images. The problems with these methods are the high implementation time, noise amplification and boundary artifacts. Hence, this article presents an amended version of the iterative Landweber algorithm to attain artifact-free boundaries and less noise amplification in a faster application time. In this study, both synthetic and real blurred CT images are used to validate the proposed method properly. Similarly, the quality of the processed synthetic images is measured using the Feature Similarity Index (FSIM), Structural Similarity (SSIM) and Visual Information Fidelity in Pixel Domain (VIFP) metrics. Finally, the results obtained from intensive experiments and performance evaluations show the efficiency of the proposed algorithm, which has potential as a new approach in medical image processing.

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“…Метод носит название Blind deconvolution [Stockham et al, 1975], и к нему проявляют значитель-ный интерес исследователи в различных областях нау-ки и техники (см., напр. : [Petropulu, Nikias, 1993;Haykin, 1994;Kundur, Hatzinakos, 1996;Sarkar et al, 1998;Kaprzak, Okazaki, 2003;Douglas et al, 2007;Tria et al, 2007;van Vossen, Trampert, 2007]). …”

Section: возникновение данного класса преобразованийunclassified

Homomorphic filtering and blind deconvolution

2015

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В области фильтрации продолжительное время развивается направление, позволяющее разделять форму наблюдаемого сигнала на мультипликативные составляющие. При такой фильтрации не ис-пользуется или минимально используется информация о природе разделяемых составляющих, а так-же не требуется полного знания о процессах, которые их формируют. В результате удается восполь-зоваться эвристическими моделями при определении формы сигнала. Кроме того, определяемые посредством фильтрации составляющие служат основой для изучения процессов, приводящих к наб-людаемым изменениям сигнала. Также в зависимости от используемых моделей эти составляющие применяются для корректировки формы сигнала или являются входными данными для решения об-ратных задач. В последнем случае можно опираться на известные теоретические решения либо на некоторые эвристические конструкции, служащие основой для изучения процессов формирования регистрируемых сигналов. Таким образом, развиваемое направление обладает большими перспекти-вами в области сейсморазведки, особенно с учетом возрастающей сложности задач и требований к повышению точности прогноза характеристик изучаемой среды. Одним из наиболее известных мето-дов, основанных на идеях гомоморфной фильтрации, является поверхностно-согласованная фильтра-ция, представляющая собой стандартную процедуру всех современных комплексов обработки сейс-мических данных. Гомоморфные преобразования, кепстральный анализ, деконволюция, мультипликативные составляющие формы сигнала, объектно-ориентированные обратные задачи HOMOMORPHIC FILTERING AND BLIND DECONVOLUTION G.М. MitrofanovTrofimuk Institute of Petroleum Geology and Geophysics SB RAS 630090, Novosibirsk, prosp. Acad. Koptyug, 3, Russia; So long time in an area of filtering researches a big stream is development. It provides to separate a form of observed signals on multiplied or convoled components. In the filtering does not use or use minimum information about separated components nature as well as don't need full knowledge about processes which its forming. All give a tripled effect. The first, heuristics models can be applied for a signal form presentation. The second, components are determined by such filtration are the bases for a studying of processes which can available these variations of observed signals form. The third, separated components take account on used models are applied to the signals form correction or entrance data for inverse problems solution. In the last case known theoretical solutions or some heuristic design which are basis for studying of processes of recorded signals formation can be used. Thus, developing the direction has great prospects in seismic exploration especially given the increasing complexity of tasks and requirements to improve the accuracy of features prediction of studied medium. One of the most well-known methods, which is based on the homomorphic filtration ideas, is the surface consistent filtering representing the standard procedure of all modern package of seismic data processing.Homomorphic transforms, cepstral an...

show abstract

A blind-deconvolution approach for chromatographic and spectroscopic peak restoration

Cited by 21 publications

References 9 publications

Deblurring Computed Tomography Medical Images Using a Novel Amended Landweber Algorithm

Deblurring Computed Tomography Medical Images Using a Novel Amended Landweber Algorithm

Deblurring computed tomography medical images using a novel amended Landweber algorithm

Homomorphic filtering and blind deconvolution

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