Abstract
Image can be processed via variety of transformation techniques. Transformations of signals not only extract useful information from any real signal but also process it as per demanding application. Image transformation can be histogram equalization, discrete wavelet transform, morphology or point transformation. Point transformation just improves visual appearance of an image without fetching any new information. It is just required for detection or extraction of some information as per demanding application. Point transformation can be point-to-point transformation, local-to-point transformation, or global-to-point transformation. Transformation technique can be chosen based on complexity of transformation technique. The aim of this paper is to discuss point-to-point transformation technique which is advantageous in terms of constant complexity compared to local to point and global-to-point techniques as it is calculated per pixel and it is point to point. Different types of image enhancement techniques such as image negative, separation of image into RGB parts, gamma correction and log transformation are implemented using MATLAB.
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Manhas, P., Thakral, S., Arora, P. (2019). Exhaustive Analysis of Image Enhancement Using Point-to-Point Transformation. In: Saini, H., Singh, R., Kumar, G., Rather, G., Santhi, K. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-13-3765-9_11
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DOI: https://doi.org/10.1007/978-981-13-3765-9_11
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