editedbook
Publication: IIP Proceedings Year: 2022, Month: November Page No: 212-222, ISSN/ISBN: 978-81-959356-1-1, DOI/Link: https://rsquarel.org/assets/docupload/rsl202386573047692C9EB.pdf
REVIEW OF IMAGE ENHANCEMENT IN SPATIAL VS, FREQUENCY DOMAIN
Area/Stream: Network & Communication Technologies, Authors: Dr. Anita Pati Mishra, Ms. Monika Dixit Bajpai Keywords: Digital Image processing, Image Enhancement, Automated Image Processing, Fingerprint Matching & Fourier Transform. Book Name /series: Futuristic Trends in Network & Communication Technologies,Volume 2, Book 19, Part 2, Chapter 8Publication: IIP Proceedings Year: 2022, Month: November Page No: 212-222, ISSN/ISBN: 978-81-959356-1-1, DOI/Link: https://rsquarel.org/assets/docupload/rsl202386573047692C9EB.pdf
Abstract:
Image enhancement is a critical and difficult step in the processing of digital images.The fundamental aim of image enhancement is to uncover the hidden components in a picture. Picture enhancement improves the quality of the image for human presentation. Enhancement procedures include things like increasing contrast, eliminating noise and blur, and revealing details.Spatial domain and frequency domain picture enhancement are the two basic types.The two tactics discussed in this chapter are contrasted with ones that are comparable to them.The aim of image enhancement is to make images simpler for research to comprehend or perceive or to provide "better" input to other automated image processing techniques, like face recognition-based biometric techniques, among others.Face recognition, matching fingerprints, and early biology applications. Picture enhancement is one of the most important and difficult steps in digital image processing. The main aim of image enhancement is to reveal the hidden details in a picture.The quality of the image is improved for human presentation by picture enhancement.Increasing contrast, eliminating noise and blur, and illuminating features are a few examples of enhancement operations.Spatial domain and frequency domain are the two main types of image enhancement.This chapter contrasts these two approaches with ones that are comparable to them.The goal of image enhancement is to make images simpler for people to interpret or perceive or to provide "better" information to other automated image processing techniques, including biometric techniques that use face recognition, among others.Face recognition, fingerprint comparison, and preliminary biological terms biometric techniques that use face recognition, among others like matching fingerprints, recognising faces, and morphological applications.
Cite this: Dr. Anita Pati Mishra, Ms. Monika Dixit Bajpai,"REVIEW OF IMAGE ENHANCEMENT IN SPATIAL VS, FREQUENCY DOMAIN", Futuristic Trends in Network & Communication Technologies,Volume 2, Book 19, Part 2, Chapter 8, November, 2022, 212-222, 978-81-959356-1-1, https://rsquarel.org/assets/docupload/rsl202386573047692C9EB.pdf
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