Wyniki wyszukiwania - Biblioteka Nauki

1

Hazy Underwater Image Enhancement Based on Contrast and Color Improvement Using Fusion Technique

100%

Singh R. , Biswas M.

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2017

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tom Vol. 22, no. 3

31--38

EN

Scattering and absorption of light in water leads to degradation of images captured under the water. This degradation includes diminished colors, low brightness and undistinguishable objects in the image. To improve the quality of such degraded images, we have proposed fusion based underwater image enhancement technique that focuses on improving of the contrast and color of underwater images using contrast stretching and Auto White Balance. Our proposed method is very simple and straightforward that contributes greatly in uplifting the visibility of underwater images.

2

Non-local Mean-Shift filter for the reduction of multiplicative noise in digital images

100%

Kusnik D. , Smołka B.

Journal of Medical Informatics & Technologies

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2014

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tom Vol. 23

103--110

EN

In this paper a new method for the reduction of multiplicative noise in digital images is described. The proposed algorithm is a modification of the Mean-Shift (MS) filter which is based on the concept of the Non-Local Means (NLM) denoising. The proposed algorithm does not focus on single pixels only, as in the case of the mean-shift technique, but also on their neighborhoods. The performance of the novel approach is experimentally verified and the obtained results prove that the new design is superior both to the MS and NLM techniques.

3

Fingerprint classification using computational intelligence algorithms in medical diagnostics

100%

Wajs W. , Wojtowicz H. , Wojtowicz J.

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2011

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tom Vol. 7, no. 2

95--100

EN

Fingerprint classification is used by anthropologist in detection of genetic disorders in infants.This paper describes application of image processing and pattern recognition methods in classification of fingerprints. Fingerprint classifiers, which are part of an automatic system for rapid screen diagnosing of trisomy 21 (Down Syndrome) in infants, are created and discussed. The system is a tool supporting medical decision by automatic processing of dermatoglyphic prints and detecting features indicating presence of genetic disorder. Images of dermatoglyphic prints are pre-processed before the classification stage to extract features analyzed by the Support Vector Machines algorithm. Application of an algorithm based on multi-scale pyramid decomposition of the image is proposed for the ridge orientation calculation. RBF and triangular kernel types are used in the training of SVM multi-class systems generated with the one–vs–one scheme. The experiments conducted on the database of the Collegium Medicum Jagiellonian University in Cracow show the effectiveness of the proposed approach in classification of infants’ fingerprints.

4

Genetic filters for video noise reduction

100%

Szostakowski J.

Machine Graphics and Vision

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2006

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tom Vol. 15, No. 3/4

631-638

EN

This paper describes a genetic programming approach to video filtering, based on evolution programming for image sequence filter design. Each gene represents a filter weight. The intra- and interframe approaches are shown and discussed.

5

Contrast enhancement of scanning electron microscopy images using a noncomplex multiphase algorithm

100%

Alsaygh Z. , Al-Ameen Z.

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2022

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tom Vol. 18, no 2

28--42

EN

Microscopic technology has recently flourished, allowing unparalleled viewing of microscopic elements invisible to the normal eye. Still, the existence of unavoidable constraints led on many occasions to have low contrast scanning electron microscopic (SEM) images. Thus, a noncomplex multiphase (NM) algorithm is proposed in this study to provide better contrast for various SEM images. The developed algorithm contains the following stages: first, the intensities of the degraded image are modified using a two-step regularization procedure. Next, a gamma-corrected cumulative distribution function of the logarithmic uniform distribution approach is applied for contrast enhancement. Finally, an automated histogram expansion technique is used to redistribute the pixels of the image properly. The NM algorithm is applied to natural-contrast distorted SEM images, as well as its results are compared with six algorithms with different processing notions. To assess the quality of images, three modern metrics are utilized, in that each metric measures the quality based on unique aspects. Extensive appraisals revealed the adequate processing abilities of the NM algorithm, as it can process many images suitably and its performances outperformed many available contrast enhancement algorithms in different aspects.

6

On the adaptive impulsive noise reduction in color images

88%

Smolka B.

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2010

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tom Vol. 16

193--200

EN

In this paper a novel class of noise attenuating and edge enhancing filters for color image processing is introduced and analyzed. The proposed adaptive filter design is minimizing the cumulative dissimilarity measure of a cluster of pixels belonging to the sliding filtering window and outputs the centrally located pixel. The proposed filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and enhancing its edges. Therefore it can be used in any application in which simultaneous denoising and edge enhancement is a prerequisite for further steps of the color image processing pipeline.

7

Microscopic Images Improvement Depending on Dark Channel Prior and Adaptive Histogram Equalization based on the Lab Colour Model

88%

Noman K. A. , Yaseen A. S.

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tom Vol. 18, no 4

128--136

EN

Optical microscopes face limitations due to diffraction, which can impact the clarity and resolution of the resulting images. Enhancing these images typically involves techniques such as contrast improvement, sharpening, and noise reduction, which help make features more discernible. In this study, we propose an algorithm aimed at enhancing contrast and illumination using Dark Channel Prior (DCP) and Adaptive Histogram Equalization (AHE) to improve image clarity. For illumination enhancement, we utilize the Lab color model, specifically focusing on the light formation component (L) while preserving color. This method was compared against several others, including the Retinex Algorithm with Colour Restoration, Adaptive Histogram Equalization and Fuzzy Logic, Fuzzy Logic by Stretch Membership Function, Median-Mean Based Sub-Image-Clipped Histogram Equalization, Principal Component Analysis Using Reflection Model, and Modified Color Histogram Equalization, using both reference and non-reference quality standards. Our algorithm aims to enhance image contrast and brightness without introducing color distortion, achieving favorable values for Entropy (7.913), mean of the standard deviation (61.04), Structural Similarity Index Metric (0.760), and Perception-based Image Quality Evaluator (35.324).

8

Advances of blood vessel morphology analysis in 3D magnetic resonance images

88%

Orkisz M. , Hernandez-Hoyos M. , Douek P. , Magnin I.

Machine Graphics and Vision

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2000

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tom Vol. 9, No. 1/2

463-471

EN

We deal with image processing applied to 3D analysis of vascular morphology in magnetic resonance angiography (MRA) images. It is, above all, a state-of- the-art survey. Both filtering and segmentation techniques are discussed. We briefly describe out most recent contribution: an anisotropic non-linear filter which improves visualization to small blood vessels. Enhancement of small vessels is obtained by combining a directional L-filter applied according to the locally estimated orientation of image content and a 2D laplacian orthogonal to this orientation.

9

Enhancing Moon Crescent Visibility Using Contrast-Limited Adaptive Histogram Equalization and Bilateral Filtering Techniques

88%

Yussof W. N. J. H. W. , Man M. , Umar R. , Zulkeflee A. N. , Awalludin E. A. , Ahmad N.

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tom nr 1

3--13

EN

Image enhancement is becoming increasingly im portant with the advancement of space exploration techniques and the technological development of more durable and sci entifically sound observatories equipped with more powerful telescopes. The enhancement of images helps astronomers an alyze the results and act toward determining the dates of religious festivals. This work describes a technique known as contrast-limited adaptive histogram equalization (CLAHE) with grayscale contrast enhancement and bilateral filtering. We apply CLAHE on the L component of the CIE-Lab color space to adjust lightness contrast. Subsequently, grayscale contrast enhancement is performed to increase the visibility of the moon crescent. Noise caused by grayscale contrast en hancement is reduced using bilateral filtering. Two quantitative measures are selected (PSNR and MSE) to show the visual improvement achieved by the proposed algorithm.

10

An automatic system for calculating basic semen parameters

88%

Witkowski Ł.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2004

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tom Vol. 8, No 2

231-236

EN

Algorithms for examination of the density and selected parameters of movement of sperm cells have been elaborated and implemented. The conducted research is a part of work on a computer system for semen analysis. The system will allow for an increase in the precision of examination thanks to an exact specification of numerical values of the chosen parameters. An additional advantage of the system is an increased time efficiency of examination. Nowadays, the basic type of examination is an estimated analysis of semen parameters by visual observation of a sample, based on a physician's subjective assessment of an image. Registration of images is impossible in visual analysis.

11

A New Image Enhancement Based on the Fuzzy C-Means Clustering

75%

Liu Y. , Liu Y.

Przegląd Elektrotechniczny

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2012

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tom R. 88, nr 3b

1-4

EN

The enhancement of the infrared dim small target image is a very important pretreatment in automatic recognition of target and infrared target tracking system. The paper proposed a new image enhancement algorithm based on the Fuzzy C-Means clustering. The algorithm conducted cluster analysis on the pixel and gray of the infrared image and increased the image gray level difference between the various objects so as to achieve the enhanced purpose for infrared small target image. The experimental results showed that this algorithm is able to enhance small target image to the maximum extent with ensuring no loss of the target information.

PL

W artykule zaproponowano nowy algorytm poprawy jakości obrazu otrzymanego w podczerwieni bazujący na klastrach rozmytych typu C. Algorytm analizuje piksle i odcień szarości obrazu i rozszerza poziom różnic szarości. Symulacje potwierdziły przydatność algorytmu dla małych zbiorów.

12

Two-pass median filter for impulse noise removal

75%

Fabijańska A.

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2009

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tom T. 13, z. 3/1

807-820

EN

In this paper the new approach to impulse noise removal is introduced. Described algorithm involves modification of median filtration mechanism. However, in opposition to traditional approach only pixels corrupted by noise are filtered. Results of applying introduced method to exemplary images are presented and compared with results achieved with traditional approaches. Moreover, the performance of the method is analyzed. Factors influencing efficiency of noise removal using proposed algorithm are deliberated.

PL

W artykule przedstawiono nową metodę usuwania szumu impulsowego. Zaprezentowany algorytm wykorzystuje mechanizm filtracji medianowej. Jednak w przeciwieństwie do tradycyjnego podejścia, filtracji poddawane są jedynie zaszumione piksele. W artykule zaprezentowano również wyniki zastosowania autorskiej metody do przykładowych obrazów oraz ich porównanie z wynikami otrzymanymi z wykorzystaniem tradycyjnych metod usuwania szumu. Ponadto, rozważone i przedyskutowane zostały czynniki wpływające na efektywność działania autorskiego algorytmu.

13

Discrimination different lithological units using a remote sensing application: A case study in the Dokan Area, Kurdistan Region - Iraq

75%

Bety A. K. S.

Journal of Water and Land Development

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2022

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tom no. 55

109--114

EN

This study discriminates different lithological units of the Dokan Area, Kurdistan Region, NE-Iraq, using rapid-eye satellite data by image enhancement techniques, namely the false colour composite (FCC), optimum index factor (OIF), minimum noise fraction (MNF), principal component analysis (PCA) and band ratio (BR). Results of analyses show that the FCC (R: 5; G: 4: B: 1); MNF (R: 2, G: 3, B: 5); PCA (R: 5, G: 2, B: 1), and band ratio (R: 5/4, G: 2/1, B: 5/3) are the best to different geological formations. The results are confirmed in the field support with the geological maps available for the area. Geological formations appeared as a result of the collision process between the Arabian plate and the Iranian plate. In general, the study area is mountainous, which is usually represented by anticline folds with the main NW - SE trend in the study area, with very a rugged relief mainly due to the continuous collision between the Arabian plate and Iranian plate. The digital image processing of satellite data has demonstrated the sensor’s capability and efficiency of the image processing methods in identifying and mapping geological units in the study area.

14

Algorytm pseudokolorowania obrazów medycznych

75%

Ciecholewski M.

Elektrotechnika i Elektronika

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2005

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tom T. 24, z. 1

1-6

PL

W pracy zaprezentowano algorytm umożliwiający pseudokolorowanie obrazów szarych, jak również przedstawiono rezultaty uzyskane dla określonych zdjęć medycznych. Zaproponowano technikę polegającą na konwersji bitmap o kolorze szarym z jednowymiarowej przestrzeni barw do przestrzeni trójwymiarowej. Zastosowana metoda umożliwia wyodrębnienie szczegółów obrazu w postaci kolorów, niewidocznych w czarno-białych obrazach medycznych, i w efekcie ułatwia ich analizę. W artykule przedstawiono też określone modele barw, stosowane w grafice komputerowej i wykorzystane podczas realizacji algorytmu.

EN

This paper presents an approach to the pseudo-coloring of grayscale images. An application of use to the medical scans also has been covered. The algorithm enables conversion from one dimensional grayscale space, to a three dimensional color space, resulting significant color enhancement. This introduction of colour to greyscale images cancertainly make image analysis of medical seans easier. The paper provides background of some color models, used in the computer graphics and also applicable in the presented algorithm.

15

On the application of the forward and backward diffusion scheme for image enhancement

75%

Smolka B.

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2002

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tom Vol. 3

MI51--60

EN

In this paper a novel approach to the problem of edge preserving smoothing is proposed and evaluated. The new algorithm is based on the combined forward and backward anisotropic diffusion with incorporated time dependent cooling process. This method is able to efficiently remove image noise, while preserving and enhancing its edges.

16

Modified central weighted vector median filter

75%

Smolka B.

|

2002

|

tom Vol. 3

MI41--49

EN

A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented. The computational complexity of the new filter is significantly lower than that of the Central Weighted Vector Median Filter (CWVMF). The comparison shows that the new filter outperforms the CWVMF, as well as other standard procedures used in color image filtering for the removal of impulsive noise.

17

Podwyższanie rozdzielczości obrazów cyfrowych z wykorzystaniem informacji o krawędziach

75%

Świerczyński Z. , Rokita P.

Biuletyn Instytutu Automatyki i Robotyki

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2008

|

tom R. 14, nr 25

113-138

PL

W artykule zostały opisane i porównane metody podwyższania rozdzielczości obrazów cyfrowych. Przedstawiono klasyfikację tych metod oraz implementacje wybranych algorytmów. Zasadniczą część artykułu stanowi przedstawienie dwóch hybrydowych autorskich metod interpolacji. Zaproponowane metody, w celu poprawy jakości interpolowanego obrazu (w szczególności jego ostrości), wykorzystują informacje o krawędziach wykrytych na obrazie oryginalnym. Artykuł opisuje, w jaki sposób są wykrywane i wykorzystywane krawędzie do poprawy jakości obrazu w większej rozdzielczości.

EN

This paper presents results of our research aiming at obtaining new methods for increasing resolution of digital images, giving better visual results. Classification of these methods and implementation of some algorithms is also shortly presented here. The main part of the paper presents two proposes a simple but efficient method for increasing resolution of digital images using edge-based approach.

18

Rozszerzony model logarytmicznego przetwarzania obrazów

75%

Vorobel R. , Stobińska M.

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2011

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tom T. 15, z. 3

295-308

PL

Przeprowadzono analizę logarytmicznego modelu Jourlin-Pinoli przetwarzania obrazu. Zbudowany rozszerzony algebraiczny model logarytmicznego przetwarzania obrazu, oparty na nowej algebrze uniwersalnej, wykorzystuje rozszerzone operacje dodawania i mnożenia przez skalar, którego wartościami są liczby rzeczywiste, a nie tylko nieujemne. Na ich podstawie skonstruowana została metoda poprawy jakości obrazów z zastosowaniem zaproponowanego przekształcenia afinicznego. Rozważania zilustrowano przykładami obliczeniowymi.

EN

The analysis of the Jourlin-Pinoli model for logarithmic image processing is shown. Extended model using new universal algebra for logarithmic image processing is build. This method is based on the new universal algebra with extended operations of addition and multiplication by scalar. The results of such operation are real numbers, which can be not only positive but also negative. New method for images enhancement with affine transforms is proposed. The studies are illustrated by computational examples.

19

A system for a computer-aided biometric analysis and diagnosis of crane teleradiograms

75%

Kasiński A. , Buczek K.

Journal of Medical Informatics & Technologies

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2000

|

tom Vol. 1

BI 3--8

EN

The integrated, computer system for the biometric analysis of teleradiograms, supporting the diagnosing in orthodentistry is presented in the article. The architecture of the system is described. Image acquisition, image analysis, graphical and database maintenance functions are discussed briefly. The system is provided with a number of image enhancement methods, with automatic functions of drawing biometric lines, with automatic calculator of biometric characteristics according to the chosen method and with patients' database filling functions. In the article, image enhancement and features extraction issues are discussed in more detailed form and same original implementation results are provided.

20

An improved feature based image fusion technique for enhancement of liver lesions

63%

Sreeja P. , Hariharan S.

|

2018

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tom Vol. 38, no. 3

611--623

EN

This paper describes two methods for enhancement of edge and texture of medical images. In the first method optimal kernel size of range filter suitable for enhancement of liver and lesions is deduced. The results have been compared with conventional edge detection algorithms. In the second method the feasibility of feature based pixel wise image fusion for enhancing abdominal images is investigated. Among the different algorithms developed in the medical image fusion pixel level fusion is capable of retaining the maximum relevant information with better implementation and computational efficiency. Conventional image fusion includes multi-modal fusion and multi-resolution fusion. The present work attempts to fuse together, texture enhanced and edge enhanced images of the input image in order to obtain significant enhancement in the output image. The algorithm is tested in low contrast medical images. The result shows an improvement in contrast and sharpness of output image which will provide a basis for a better visual interpretation leading to more accurate diagnosis. Qualitative and quantitative performance evaluation is done by calculating information entropy, MSE, PSNR, SSIM and Tenengrad values.