A Review on Image Processing

Authors

  • Parthvi Jingar Department of Computer Applications, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India
  • Krupali Panchal Department of Computer Applications, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India
  • Priya Oza Department of Computer Applications, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India

Keywords:

Image Enhancement, storage, MATLAB, Feature Extraction, electronic, technology, AI, 5G.

Abstract

Image processing, a crucial aspect of both human perception and machine interpretation, involves the manipulation of fundamental characteristics within an image to enhance its visual content. In the electronic domain, the field of digital image processing delves into the conversion of images into sets of numerical pixels, representing physical attributes like scene radiance. Stored in digital memory, these pixels undergo computerized processing, playing a pivotal role in various applications. This review paper explores key facets of digital image processing techniques, emphasizing their role in augmenting visual information for human comprehension and facilitating the storage, transmission, and representation of image data for autonomous machine perception. Of particular significance is the challenge posed by edge identification, a complex problem crucial for defining boundaries. This paper delves into the intricacies of this fundamental issue, shedding light on its significance in the realm of image processing.

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References

Jain, Fundamentals of Digital Image Processing, Prentice-Hall Inc., 1982.

E. Trucco, and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice-Hall Inc., 1998. [3] L. G. Shapiro, and G. C. Stockman, Computer Vision, PrenticeHall Inc., 2001.

R. Chellappa, C.L. Wilson, S. Sirohey (1995), “Human and machines recognition of faces: a survey”, Proc.IEEE 83(5): 705- 740.

A.Samal and P.A.Iyengar ,Automatic recognition and analysis of human faces and facial, 1992.

M Sonka.,V.Hlavac, R. Boyle: “Image Processing, Analysis and Machine Vision”. Thomson, 2008

William, K. Pratt, Digital Image Processing, Fourth Edition, A John Wiley & Sons Inc. Publication, pp.465-529, 2007.

Matlab Help Manual.

E. Reinhard; G.Ward,; S. Pattanaik,; P. Debevec, (2006). High dynamic range imaging: acquisition, display, and image-based lighting.2006

J. Cohen and C. Tchou and T. Hawkins , P. Debevec ,S. J. Gortler and K. Myszkowski. ed. "Real-Time High Dynammic Range Texture Mapping". Proceedings of the 12th Euro graphics Workshop on Rendering Techniques (Springer): E. (2001). 313–320.

V. Vonikakis and I. Andreadis “. Second Pacific Rim Symposium (PSIVT) 2007”, Santiago, Chile, December 17–19, 2007.

S.Venkatesan andM.Karnan:“Edge and Characteristics Subset Selection in images using ACO, Computer research and Developemnt 2010” Second International Conference (ICCRD)7-10 ,May 2010,Page 369-372

J. R. Movellan, “Tutorials on Gabor Filters”, pp.1-20, GNU Free documentation License 1.1,Kolmogorv Project,2002.

R.C. Gonzalez & R. E. Woods,Digital Image Processing, Addison-Wesley Co.,1991.

R. Gillespie, A. B Kahle and R. E. Walker (1986), Colour enhancement of highly correlated images. I. Decorrelation and HIS contrast stretches, Remote Sensing of Environment, 20:209- 235.

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Published

02.02.2024

How to Cite

Jingar, P. ., Panchal, K. ., & Oza, P. . (2024). A Review on Image Processing. International Journal of Intelligent Systems and Applications in Engineering, 12(14s), 515–520. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4688

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Section

Research Article

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