Titlebook: Hybrid and Advanced Compression Techniques for Medical Images; Rohit M. Thanki,Ashish Kothari Book 2019 Springer Nature Switzerland AG 201

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Rohit M. Thanki,Ashish Kothariion, Sci­ ence, Research and Technology (BMFT) put forward the idea of developing the audit concept further in order to make it applicable also in other Central and Eastern European Countries. They asked lSI to utilise the running OECD audits as a learn­ ing source and to work out a comprehensive au

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Rohit M. Thanki,Ashish Kothariion, Sci­ ence, Research and Technology (BMFT) put forward the idea of developing the audit concept further in order to make it applicable also in other Central and Eastern European Countries. They asked lSI to utilise the running OECD audits as a learn­ ing source and to work out a comprehensive au

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Classification in Data Compression,uch as quality of compressed data, used coding techniques, types of data, and based on applications. This chapter also covers the comparison of existing techniques available in the literature based on various features.

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Mathematical Preliminaries,ansforms are discussed in this chapter. The description of compressive sensing (CS) theory, image compression standard for medical images, and performance evaluation parameters for compression method are also covered in this chapter.

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Conventional Compression Techniques for Medical Images,rms such as DCT, DWT, SVD, and hybridization of it. The chapter gives a performance analysis of these techniques using various evaluation parameters such as RMSE, PSNR, and CR and various similarity index measures.

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Rohit M. Thanki,Ashish KothariCovers various algorithms for data compression and medical image compression;.Provides simulation results of compression algorithms for different types of medical images;.Provides study of compressive

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