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Image Enhancement

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Multiscale Transforms with Application to Image Processing

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

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. Performance of image restoration can be measured very precisely, whereas enhancement process is difficult to represent in mathematical form.

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Authors and Affiliations

  1. Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea

    Aparna Vyas, Soohwan Yu & Joonki Paik

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  1. Aparna Vyas
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  2. Soohwan Yu
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  3. Joonki Paik
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Correspondence to Aparna Vyas .

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Vyas, A., Yu, S., Paik, J. (2018). Image Enhancement. In: Multiscale Transforms with Application to Image Processing. Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-7272-7_6

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  • DOI: https://doi.org/10.1007/978-981-10-7272-7_6

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