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Artículos de revistas sobre el tema "Enhancement techniques"

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Publicado: 30 de marzo de 2023

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1

Nemade, Milind U. y Satish K. Shah. "Speech Enhancement Techniques: Quality vs. Intelligibility". International Journal of Future Computer and Communication 3, n.º 3 (2014): 216–21. http://dx.doi.org/10.7763/ijfcc.2014.v3.299.

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2

Kates, James M. y Julian J. Bussgang. "Speech enhancement techniques". Journal of the Acoustical Society of America 83, n.º 1 (enero de 1988): 405. http://dx.doi.org/10.1121/1.396211.

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3

N B Umashankar, N. B. Umashankar y Anand Jatti. "Overview of Speech Enhancement Techniques for Various Applications". Indian Journal of Applied Research 1, n.º 6 (1 de octubre de 2011): 66–67. http://dx.doi.org/10.15373/2249555x/mar2012/21.

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4

Bharkatiya, M. y RK Nema. "Skin penetration enhancement techniques". Journal of Young Pharmacists 1, n.º 2 (2009): 110. http://dx.doi.org/10.4103/0975-1483.55741.

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5

McAndrews, Peter T. y Steven P. Arnoczky. "Meniscal Repair Enhancement Techniques". Clinics in Sports Medicine 15, n.º 3 (julio de 1996): 499–510. http://dx.doi.org/10.1016/s0278-5919(20)30108-3.

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6

Kumar, K. Sravan, Babak Yazdanpanah y Dr G. S. N. Raju. "Performance Comparison of Windowing Techniques for ECG Signal Enhancement". International Journal of Engineering Research 3, n.º 12 (1 de diciembre de 2014): 753–56. http://dx.doi.org/10.17950/ijer/v3s12/1210.

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7

Suralkar, S. R. y Seema Rajput. "Enhancement of Images Using Contrast Image Enhancement Techniques". International Journal Of Recent Advances in Engineering & Technology 08, n.º 03 (30 de marzo de 2020): 16–20. http://dx.doi.org/10.46564/ijraet.2020.v08i03.004.

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8

Hatif Naji, Zobeda y A. N. Nazarov. "MEDICAL IMAGE ENHANCEMENT BASED AI TECHNIQUES: A REVIEW". SYNCHROINFO JOURNAL 8, n.º 2 (2022): 19–23. http://dx.doi.org/10.36724/2664-066x-2022-8-2-19-23.

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Image enhancement is a type of image processing that improves the image’s suitability for specific uses. Image enhancement’s primary goal is to improve an image’s visual look, or to provide a “higher transform features of an image”. The goal of the paper is to analyze and formulate several image enhancing strategies that can be used in a variety of medical applications. A survey of various picture enhancement techniques is presented in this work. More specifically, the suggested research would focus on improving medical photos captured in low-light conditions, foggy environments, and speckle noise, among other things. Developing algorithms to aid clinicians in diagnosing the disease at its earliest stages.
9

G., Nirmalapriya. "Comparative Analysis of Underwater and under Exposed Image Enhancement Techniques". Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (25 de julio de 2020): 192–200. http://dx.doi.org/10.5373/jardcs/v12sp7/20202098.

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10

Manju, M. y V. Kavitha. "Survey on Fingerprint Enhancement Techniques". International Journal of Computer Applications 62, n.º 4 (18 de enero de 2013): 41–47. http://dx.doi.org/10.5120/10072-4682.

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11

Bhairav, B. A., J. K. Bachhav y R. B. Saudagar. "Review on Solubility Enhancement Techniques". Asian Journal of Pharmaceutical Research 6, n.º 3 (2016): 175. http://dx.doi.org/10.5958/2231-5691.2016.00025.3.

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12

Bansal, Abhinav y Navdeep Singh. "Image Enhancement Techniques: A Review". ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY 6, n.º 2 (29 de agosto de 2020): 7–11. http://dx.doi.org/10.33130/ajct.2020v06i02.002.

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13

Rao, Karishma, Archana Agarwal y Sangeeta Dhall. "Contrast Enhancement Techniques: A Survey". International Journal of Signal Processing, Image Processing and Pattern Recognition 10, n.º 12 (31 de diciembre de 2017): 35–62. http://dx.doi.org/10.14257/ijsip.2017.10.12.04.

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14

Pike, Winthrop S. "SOME TELEVISION IMAGE ENHANCEMENT TECHNIQUES". Annals of the New York Academy of Sciences 97, n.º 2 (15 de diciembre de 2006): 395–407. http://dx.doi.org/10.1111/j.1749-6632.1962.tb34652.x.

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15

Deekshatulu, B. L., A. D. Kulkarni y G. Kashipati Rao. "Quantitative evaluation of enhancement techniques". Signal Processing 8, n.º 3 (junio de 1985): 369–75. http://dx.doi.org/10.1016/0165-1684(85)90113-6.

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16

Cremer, Christoph y Barry R. Masters. "Resolution enhancement techniques in microscopy". European Physical Journal H 38, n.º 3 (23 de enero de 2013): 281–344. http://dx.doi.org/10.1140/epjh/e2012-20060-1.

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17

Pulaski, James P. "Enhancement techniques after incisional keratotomy". Journal of Cataract & Refractive Surgery 23, n.º 2 (marzo de 1997): 184–91. http://dx.doi.org/10.1016/s0886-3350(97)80340-9.

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18

Parbhane, Shubhangi, Aarti Belure, Aniket Garud y Vibhavari Chatur. "SOLUBILITY ENHANCEMENT: MEANING AND TECHNIQUES". International Journal of Pharmaceutical Sciences and Medicine 5, n.º 12 (14 de diciembre de 2020): 11–22. http://dx.doi.org/10.47760/ijpsm.2020.v05i12.005.

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19

., Brindha. "IMAGE ENHANCEMENT TECHNIQUES: A REVIEW". International Journal of Research in Engineering and Technology 04, n.º 05 (25 de mayo de 2015): 455–59. http://dx.doi.org/10.15623/ijret.2015.0405085.

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20

Gaba, Gurjot Singh. "Implementation of Image Enhancement Techniques". IOSR Journal of Electronics and Communication Engineering 1, n.º 2 (2012): 20–23. http://dx.doi.org/10.9790/2834-0122023.

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21

Vemula, Varun Raj, Venkateshwarlu Lagishetty y Srikanth Lingala. "ChemInform Abstract: Solubility Enhancement Techniques". ChemInform 42, n.º 41 (19 de septiembre de 2011): no. http://dx.doi.org/10.1002/chin.201141266.

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22

Pandita, Shiksha y Sudhir Kumar Sharma. "Speech-enhancement techniques and review on the role of labview in speech-enhancement techniques". INROADS- An International Journal of Jaipur National University 8, n.º 1and2 (2019): 31. http://dx.doi.org/10.5958/2277-4912.2019.00005.5.

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23

MacArthur, Mairi, Larissa A. Naylor, Jim D. Hansom y Michael T. Burrows. "Ecological enhancement of coastal engineering structures: Passive enhancement techniques". Science of The Total Environment 740 (octubre de 2020): 139981. http://dx.doi.org/10.1016/j.scitotenv.2020.139981.

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24

S. Padmavathy, V. y Dr R. Priya. "Image contrast enhancement techniques-a survey". International Journal of Engineering & Technology 7, n.º 3.3 (8 de junio de 2018): 466. http://dx.doi.org/10.14419/ijet.v7i2.33.14811.

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Image Enhancement plays an essential role in a wide area of vision applications. Image enhancement is a technique used to enhance the qual-ity of the image such that it can be easily viewed by both men and machine.Contrast makes a visual difference that makes an object distin-guishable from background and other objects. The major goal of image contrast enhancement is to increase the visual quality of the image. In this research study, various image contrast enhancement techniques are reviewed. This research work also focuses on the comparative study of contrast enhancement techniques for identifying an effective contrast enhancement technique.
25

Et. al., SatyasangramSahoo. "Classification among Image Enhancement Techniques for Computed Tomography scan by using CancerNet neural network". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n.º 3 (11 de abril de 2021): 4938–41. http://dx.doi.org/10.17762/turcomat.v12i3.2006.

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Enhancement of cancerous images is a vital section of image preprocessing for Computed Tomography imaging classification. The combination of computer added pictures in X-ray is widely used for medical imaging. Basic enhancement techniques like Pixel wise Enhancements and Local operator based operation on computed Tomography (C.T.) scan are mainly used in preprocessing by using an artificially based model of the medical imaging. The study is focused on selecting the better among basic enhancement methods by using the cancerNet neural network structure. Whereas CancerNet is a widely used Convolutional neural Network structure for classification based study for cancerous medical image.
26

M.V, Bindu y Herbert Joselin. "Enhancement of Thermal Performance of Solar Parabolic Trough Concentrator-Techniques- Review". Bonfring International Journal of Industrial Engineering and Management Science 9, n.º 3 (30 de septiembre de 2019): 16–20. http://dx.doi.org/10.9756/bijiems.9033.

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27

Patel, Pooja y Arpana Bhandari. "A Review on Image Contrast Enhancement Techniques". SMART MOVES JOURNAL IJOSCIENCE 5, n.º 7 (28 de julio de 2019): 5. http://dx.doi.org/10.24113/ijoscience.v5i7.217.

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The purpose of image enhancement and image restoration techniques is to perk up a quality and feature of an image that result in improved image than the original one. Unlike the image restoration, image enhancement is the modification of an image to alter impact on the viewer. Generally enhancement distorts the original digital values; therefore enhancement is not done until the restoration processes are completed. In image enhancement the image features are extracted instead of restoration of degraded image. Image enhancement is the process in which the degraded image is handled and the appearance of the image by visual is improved. It is a subjective process and increases contrast of image but image restoration is a more objective process than image enhancement. Many research work have been done for image enhancement. In this paper, different techniques and algorithms are discussed for contrast enhancement.
28

Kasimedua, Saravanakumar, Sanjeev Rao Thoppani, Nagaveni Pommalab, Gokul Orugonda y Jagadeesh Yelamanda. "A REVIEW ON SOLUBILITY ENHANCEMENT TECHNIQUES". Journal of Comprehensive Pharmacy 02, n.º 02 (2015): 36–41. http://dx.doi.org/10.37483/jcp.2015.2202.

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29

Balasubrahmanyam, M. "Comparison of Different Speech Enhancement Techniques". IOSR Journal of Engineering 3, n.º 10 (octubre de 2013): 37–44. http://dx.doi.org/10.9790/3021-031033744.

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30

Benson, Heather. "Transdermal Drug Delivery: Penetration Enhancement Techniques". Current Drug Delivery 2, n.º 1 (1 de enero de 2005): 23–33. http://dx.doi.org/10.2174/1567201052772915.

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31

Madhumatke, Priyanka P. "Underwater Image Enhancement Techniques: A Review". International Journal for Research in Applied Science and Engineering Technology V, n.º VIII (30 de agosto de 2017): 1574–80. http://dx.doi.org/10.22214/ijraset.2017.8223.

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32

Al-Rababah, Mohammad A. A., Abdusamad Al-Marghilani, Mohammed M. Al-Shomrani y Ibrahim A. Atoum. "Adaptive Enhancement Techniques for Solar Images". Journal of Signal and Information Processing 04, n.º 04 (2013): 359–63. http://dx.doi.org/10.4236/jsip.2013.44045.

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33

Rana, Pooja y Vinay Chopra. "A Study on Image Enhancement Techniques". IJARCCE 4, n.º 5 (30 de mayo de 2015): 609–11. http://dx.doi.org/10.17148/ijarcce.2015.45130.

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34

A., Sivaramakrishnan y M. Vinoth Kumar. "Pre-Processing and Image Enhancement Techniques". IJARCCE 9, n.º 7 (30 de julio de 2020): 107–13. http://dx.doi.org/10.17148/ijarcce.2020.9717.

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35

Nancy, Nancy. "Image Enhancement Techniques: A Selected Review". IOSR Journal of Computer Engineering 9, n.º 6 (2013): 84–88. http://dx.doi.org/10.9790/0661-0968488.

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36

LNU, Subhalaxmi. "Lip Enhancement Techniques - A Brief Overview". CODS Journal of Dentistry 4, n.º 2 (2012): 44–47. http://dx.doi.org/10.5005/cods-4-2-44.

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37

Savjani, Ketan T., Anuradha K. Gajjar y Jignasa K. Savjani. "Drug Solubility: Importance and Enhancement Techniques". ISRN Pharmaceutics 2012 (5 de julio de 2012): 1–10. http://dx.doi.org/10.5402/2012/195727.

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Solubility, the phenomenon of dissolution of solute in solvent to give a homogenous system, is one of the important parameters to achieve desired concentration of drug in systemic circulation for desired (anticipated) pharmacological response. Low aqueous solubility is the major problem encountered with formulation development of new chemical entities as well as for the generic development. More than 40% NCEs (new chemical entities) developed in pharmaceutical industry are practically insoluble in water. Solubility is a major challenge for formulation scientist. Any drug to be absorbed must be present in the form of solution at the site of absorption. Various techniques are used for the enhancement of the solubility of poorly soluble drugs which include physical and chemical modifications of drug and other methods like particle size reduction, crystal engineering, salt formation, solid dispersion, use of surfactant, complexation, and so forth. Selection of solubility improving method depends on drug property, site of absorption, and required dosage form characteristics.
38

Pospelova, Т. A. "Modeling to support physicochemical enhancement techniques". Oil and Gas Studies, n.º 3 (15 de julio de 2021): 79–90. http://dx.doi.org/10.31660/0445-0108-2021-3-79-90.

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The article discusses ways to increase the oil recovery factor in already developed fields, special attention is paid to the methods of enhanced oil recovery. The comparative structure of oil production in Russia in the medium term is given. The experience of oil and gas companies in the application of enhanced oil recovery in the fields is analyzed and the dynamics of the growth in the use of various enhanced oil recovery in Russia is estimated. With an increase in the number of operations in the fields, the requirements for the selection of candidates inevitably increase, therefore, the work focuses on hydrodynamic modeling of physical and chemical modeling, highlights the features and disadvantages of existing simulators. The main dependences for adequate modeling during polymer flooding are given. The calculation with different concentration of polymer solution is presented, which significantly affects the water cut and further reduction of operating costs for the preparation of the produced fluid. The possibility of creating a specialized hydrodynamic simulator for low-volume chemical enhanced oil recovery is considered, since mainly simulators are applicable for chemical waterflooding and the impact is on the formation as a whole.
39

Javed, Shamama, Kanchan Kohli y Mushir Ali. "Patented Bioavailability Enhancement Techniques of Silymarin". Recent Patents on Drug Delivery & Formulation 4, n.º 2 (1 de junio de 2010): 145–52. http://dx.doi.org/10.2174/187221110791184999.

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40

Sudhavani, G., M. Srilakshmi, P. Venkateswara Rao y K. Satya Prasad. "Comparison of Fuzzy Contrast Enhancement Techniques". International Journal of Computer Applications 95, n.º 22 (18 de junio de 2014): 26–31. http://dx.doi.org/10.5120/16728-6986.

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41

Shukla, Kuldeep Narayan. "A Review on Image Enhancement Techniques". International Journal of Engineering and Applied Computer Science 02, n.º 07 (30 de agosto de 2017): 232–35. http://dx.doi.org/10.24032/ijeacs/0207/05.

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42

Kinman, Riley N., David L. Nutini, James J. Walsh, W. Gregory Vogt, James Stamm y Jannet Rickabaugh. "Gas Enhancement Techniques in Landfill Simulators". Waste Management & Research 5, n.º 1 (enero de 1987): 13–25. http://dx.doi.org/10.1177/0734242x8700500102.

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43

Rolih, Susan D. "Enhancement Techniques for Antigen-Antibody Interactions". Laboratory Medicine 17, n.º 4 (1 de abril de 1986): 203–6. http://dx.doi.org/10.1093/labmed/17.4.203.

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44

Forsythe-Erman, J. "A Comparison of Blood Enhancement Techniques". Canadian Society of Forensic Science Journal 34, n.º 4 (enero de 2001): 159–65. http://dx.doi.org/10.1080/00085030.2001.10757525.

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45

Puniani, Shruti y Sankalap Arora. "Performance Evaluation of Image Enhancement Techniques". International Journal of Signal Processing, Image Processing and Pattern Recognition 8, n.º 8 (31 de agosto de 2015): 251–62. http://dx.doi.org/10.14257/ijsip.2015.8.8.27.

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46

Smith, Bruce W. "Mutual optimization of resolution enhancement techniques". Journal of Micro/Nanolithography, MEMS, and MOEMS 1, n.º 2 (1 de julio de 2002): 95. http://dx.doi.org/10.1117/1.1450596.

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47

Chiluvuri, V. K. R. y I. Koren. "Layout-synthesis techniques for yield enhancement". IEEE Transactions on Semiconductor Manufacturing 8, n.º 2 (mayo de 1995): 178–87. http://dx.doi.org/10.1109/66.382281.

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48

KINMAN, R., D. NUTINI, J. WALSH, W. VOGT, J. STAMM y J. RICKABAUGH. "Gas enhancement techniques in landfill simulators". Waste Management & Research 5, n.º 1 (1987): 13–25. http://dx.doi.org/10.1016/0734-242x(87)90031-0.

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49

., G. Nandini. "IMAGE ENHANCEMENT USING HYBRID TRANSFORMATION TECHNIQUES". International Journal of Research in Engineering and Technology 04, n.º 24 (25 de octubre de 2015): 101–4. http://dx.doi.org/10.15623/ijret.2015.0424018.

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50

G, Ganchimeg. "FINGERPRINT IMAGE ENHANCEMENT USING FILTERING TECHNIQUES." International Journal of Advanced Research 7, n.º 5 (31 de mayo de 2019): 637–45. http://dx.doi.org/10.21474/ijar01/9084.

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