Abstract
In real world situations, working with images have been playing significant role in recent technologies. In image analysis, compression of images is a process to reduce the size of data in the image to represent the information required, known as data compression. The type of compress applied to the digital images is known as image compression in order to reduce the size thus reduced storage and easy transmission of image information. It plays an important role in various tasks related to images like transferring of data and storing data. Various compression techniques are available today for image compression like Embedded zero trees of wavelet transforms, wavelet difference reduction, set partitioning in hierarchical trees, spatial orientation tree wavelet etc. These algorithms of image compression applied to the images give better and efficient results. The image compression algorithms are applied to both types of compression lossy as well as lossless compression.
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Sikka, R. (2022). Various Algorithms Used for Image Compression. In: GarcÃa Márquez, F.P. (eds) International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing. IEMAICLOUD 2021. Smart Innovation, Systems and Technologies, vol 273. Springer, Cham. https://doi.org/10.1007/978-3-030-92905-3_24
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DOI: https://doi.org/10.1007/978-3-030-92905-3_24
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