Digital Image Processing By Jayaraman S, Veerakumar T, Esakkirajan S

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Brandi Baylon

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May 7, 2024, 9:33:54 PM5/7/24

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However, the processing, storing, and transmitting of a large number of DMSA studies (i.e. large volume of data) becomes a major issue, and the need for reducing the volume of data (compressing image) is recognized. With the reduction in the volume of data, transmission becomes faster, and large number of studies can be stored on physical data storage devices. With this motivation, we have conducted the study for compression of Tc-99 m DMSA scan images.

digital image processing by jayaraman s, veerakumar t, esakkirajan s

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Image compression is a type of data compression applied to digital images to minimize the size in bytes of an image file without degrading the quality of image to an unacceptable level. It involves the minimization of the number of information carrying unit pixel (i.e., reducing spatial redundancy). Reduction in file size allows a number of images to be stored in a limited storage space and also reduces time required for image to be sent over network. Two types of compression techniques exist, lossy and lossless.[2] In lossy image compression scheme, certain amount of information is discarded (that is some data are lost), and hence, image cannot be decompressed 100% with originality. In lossless image compression, no data is lost and thus this method of image compression allows the original image to be perfectly reconstructed from the compressed data. We choose to work on the lossy image compression techniques with hope that we will get a very good compression without loss of clinical details for NM images.