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Journal articles on the topic 'Enhancement techniques'

Author: Grafiati

Published: 30 March 2023

Last updated: 21 June 2025

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1

Nemade, Milind U., and Satish K. Shah. "Speech Enhancement Techniques: Quality vs. Intelligibility." International Journal of Future Computer and Communication 3, no. 3 (2014): 216–21. http://dx.doi.org/10.7763/ijfcc.2014.v3.299.

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2

Kates, James M., and Julian J. Bussgang. "Speech enhancement techniques." Journal of the Acoustical Society of America 83, no. 1 (1988): 405. http://dx.doi.org/10.1121/1.396211.

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3

N B Umashankar, N. B. Umashankar, and Anand Jatti. "Overview of Speech Enhancement Techniques for Various Applications." Indian Journal of Applied Research 1, no. 6 (2011): 66–67. http://dx.doi.org/10.15373/2249555x/mar2012/21.

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4

Bharkatiya, M., and RK Nema. "Skin penetration enhancement techniques." Journal of Young Pharmacists 1, no. 2 (2009): 110. http://dx.doi.org/10.4103/0975-1483.55741.

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5

McAndrews, Peter T., and Steven P. Arnoczky. "Meniscal Repair Enhancement Techniques." Clinics in Sports Medicine 15, no. 3 (1996): 499–510. http://dx.doi.org/10.1016/s0278-5919(20)30108-3.

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6

Kumar, K. Sravan, Babak Yazdanpanah, and Dr G. S. N. Raju. "Performance Comparison of Windowing Techniques for ECG Signal Enhancement." International Journal of Engineering Research 3, no. 12 (2014): 753–56. http://dx.doi.org/10.17950/ijer/v3s12/1210.

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7

Suralkar, S. R., and Seema Rajput. "Enhancement of Images Using Contrast Image Enhancement Techniques." International Journal Of Recent Advances in Engineering & Technology 08, no. 03 (2020): 16–20. http://dx.doi.org/10.46564/ijraet.2020.v08i03.004.

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8

Hatif Naji, Zobeda, and A. N. Nazarov. "MEDICAL IMAGE ENHANCEMENT BASED AI TECHNIQUES: A REVIEW." SYNCHROINFO JOURNAL 8, no. 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.

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9

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

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10

Manju, M., and V. Kavitha. "Survey on Fingerprint Enhancement Techniques." International Journal of Computer Applications 62, no. 4 (2013): 41–47. http://dx.doi.org/10.5120/10072-4682.

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11

Bhairav, B. A., J. K. Bachhav, and R. B. Saudagar. "Review on Solubility Enhancement Techniques." Asian Journal of Pharmaceutical Research 6, no. 3 (2016): 175. http://dx.doi.org/10.5958/2231-5691.2016.00025.3.

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12

Bansal, Abhinav, and Navdeep Singh. "Image Enhancement Techniques: A Review." ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY 6, no. 2 (2020): 7–11. http://dx.doi.org/10.33130/ajct.2020v06i02.002.

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13

Rao, Karishma, Archana Agarwal, and Sangeeta Dhall. "Contrast Enhancement Techniques: A Survey." International Journal of Signal Processing, Image Processing and Pattern Recognition 10, no. 12 (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, no. 2 (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, and G. Kashipati Rao. "Quantitative evaluation of enhancement techniques." Signal Processing 8, no. 3 (1985): 369–75. http://dx.doi.org/10.1016/0165-1684(85)90113-6.

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16

Cremer, Christoph, and Barry R. Masters. "Resolution enhancement techniques in microscopy." European Physical Journal H 38, no. 3 (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, no. 2 (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, and Vibhavari Chatur. "SOLUBILITY ENHANCEMENT: MEANING AND TECHNIQUES." International Journal of Pharmaceutical Sciences and Medicine 5, no. 12 (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, no. 05 (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, no. 2 (2012): 20–23. http://dx.doi.org/10.9790/2834-0122023.

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21

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

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22

Pandita, Shiksha, and 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, no. 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, and Michael T. Burrows. "Ecological enhancement of coastal engineering structures: Passive enhancement techniques." Science of The Total Environment 740 (October 2020): 139981. http://dx.doi.org/10.1016/j.scitotenv.2020.139981.

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24

S. Padmavathy, V., and Dr R. Priya. "Image contrast enhancement techniques-a survey." International Journal of Engineering & Technology 7, no. 3.3 (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.

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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, no. 3 (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.

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26

M.V, Bindu, and Herbert Joselin. "Enhancement of Thermal Performance of Solar Parabolic Trough Concentrator-Techniques- Review." Bonfring International Journal of Industrial Engineering and Management Science 9, no. 3 (2019): 16–20. http://dx.doi.org/10.9756/bijiems.9033.

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27

Patel, Pooja, and Arpana Bhandari. "A Review on Image Contrast Enhancement Techniques." SMART MOVES JOURNAL IJOSCIENCE 5, no. 7 (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.

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28

Kasimedua, Saravanakumar, Sanjeev Rao Thoppani, Nagaveni Pommalab, Gokul Orugonda, and Jagadeesh Yelamanda. "A REVIEW ON SOLUBILITY ENHANCEMENT TECHNIQUES." Journal of Comprehensive Pharmacy 02, no. 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, no. 10 (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, no. 1 (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, no. VIII (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, and Ibrahim A. Atoum. "Adaptive Enhancement Techniques for Solar Images." Journal of Signal and Information Processing 04, no. 04 (2013): 359–63. http://dx.doi.org/10.4236/jsip.2013.44045.

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33

Rana, Pooja, and Vinay Chopra. "A Study on Image Enhancement Techniques." IJARCCE 4, no. 5 (2015): 609–11. http://dx.doi.org/10.17148/ijarcce.2015.45130.

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34

A., Sivaramakrishnan, and M. Vinoth Kumar. "Pre-Processing and Image Enhancement Techniques." IJARCCE 9, no. 7 (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, no. 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, no. 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, and Jignasa K. Savjani. "Drug Solubility: Importance and Enhancement Techniques." ISRN Pharmaceutics 2012 (July 5, 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.

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38

Pospelova, Т. A. "Modeling to support physicochemical enhancement techniques." Oil and Gas Studies, no. 3 (July 15, 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.

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39

Javed, Shamama, Kanchan Kohli, and Mushir Ali. "Patented Bioavailability Enhancement Techniques of Silymarin." Recent Patents on Drug Delivery & Formulation 4, no. 2 (2010): 145–52. http://dx.doi.org/10.2174/187221110791184999.

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40

Sudhavani, G., M. Srilakshmi, P. Venkateswara Rao, and K. Satya Prasad. "Comparison of Fuzzy Contrast Enhancement Techniques." International Journal of Computer Applications 95, no. 22 (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, no. 07 (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, and Jannet Rickabaugh. "Gas Enhancement Techniques in Landfill Simulators." Waste Management & Research 5, no. 1 (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, no. 4 (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, no. 4 (2001): 159–65. http://dx.doi.org/10.1080/00085030.2001.10757525.

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45

Puniani, Shruti, and Sankalap Arora. "Performance Evaluation of Image Enhancement Techniques." International Journal of Signal Processing, Image Processing and Pattern Recognition 8, no. 8 (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, no. 2 (2002): 95. http://dx.doi.org/10.1117/1.1450596.

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47

Chiluvuri, V. K. R., and I. Koren. "Layout-synthesis techniques for yield enhancement." IEEE Transactions on Semiconductor Manufacturing 8, no. 2 (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, and J. RICKABAUGH. "Gas enhancement techniques in landfill simulators." Waste Management & Research 5, no. 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, no. 24 (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, no. 5 (2019): 637–45. http://dx.doi.org/10.21474/ijar01/9084.

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