Compression techniques on MR image — A comparative study

Abstract

Digital Imaging and Communications in Medicine (DICOM) is a standard image format for distribution and viewing of medical images from different modalities. For transmitting the medical images over the internet and for storing for future use, different compression techniques have been employed. This paper addressed most of the existing DICOM image compression techniques and studied the performance of the respective compression algorithms using visual inspection method and verified quantitatively in terms of compressed file size, compression ratio, PSNR and MSSIM.Finally, the optimum compression technique found from this study has been discussed in terms of the visual perception and performance metrics.

Review of Various Techniques for Medical Image Compression

“…Papitha et al [13] addressed many previous techniques for DICOM image compression and analyzed the accuracy of the algorithms with the help of visual inspection method. The results were also verified with respect to compressed size of image, compression ratio, Peak Signal to Noise Ratio.…”

Low-complexity Three-dimensional Discrete Hartley Transform Approximations for Medical Image Compression

“…Multidimensional discrete transforms are extended versions of discrete transforms applied to arrays with more than one dimension and are important tools for multidimensional digital signal processing applications, such as image filtering [35], image and video coding [7,24,62,70], visual tracking [52], and facial expression recognition [86]. In particular, multidimensional DHT-based algorithms were successfully employed in medical image compression [31,68,79,80]. Some multidimensional discrete transforms, such as the multidimensional DFT (mD DFT) and the multidimensional DCT (mD DCT), satisfy the kernel separability property [35], which allows the multidimensional computation by taking several one-dimensional transformation of input data [76].…”