Comparative Study of Compression Techniques Applied in Different Biomedical Signals

Saraiva, Aratã Andrade; Castro, Felipe Miranda de Jesus; Costa, Nator Junior C.; Sousa, José Vigno Moura; Ferreira, Nuno M. F.; Valente, António; Soares, Salviano

doi:10.5220/0007350401320138

Cited by 4 publications

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“…It is important to note that an MSE value equivalent to 0 indicates perfect similarity. A value greater than 1 implies less similarity and will continue to increase as the average difference between pixel intensities also increases (Saraiva et al, 2019).…”

Section: Dicom Compression Analysismentioning

confidence: 99%

“…Typical values for PSNR in compression with loss Research, Society and Development, v. 9, n. 9, e882998032, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i9.8032 of image and video are between 30 and 50 dB, as long as the bit depth is 8 bits, the higher the better. For 16-bit data, typical values for PSNR are between 60 and 80 dB (Mauro, 2006;Saraiva et al, 2019). In order to remedy some of the problems associated with MSE for image comparison, we have SSIM described by equation 11:…”

Section: Dicom Compression Analysismentioning

confidence: 99%

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DICOM compression and decompression method using double cone

Saraiva

Oliveira

Neto

2020

RSD

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The increase of information in the medical environment caused by digital imaging settings is notable. The search and use of these technological tools aimed at medicine require a greater availability of storage, generating increasing costs. In medicine, together with information technology, there is a format of images used in exams, diagnostics, tomography, among others. This format, entitled DICOM, was created in order to standardize uses in medical devices for exam answers. An open question is the compression of DICOM data, in order to maintain quality, maintaining high rates of compression. This presents a new method for compressing and decompressing DICOM data using a dual cone bijector function and a video codec, called DC (Double Cone). This work offers 3 changes to the DC method (DC1, DC2 and DC3). The results obtained with a new technique show that the compression, although with loss, has a similarity index very close to the original image (SSIM = 0.99), and an accuracy ratio equal to 69.51, in the better case. The better performing version was the DC2.

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Section: Dicom Compression Analysismentioning

confidence: 99%

Section: Dicom Compression Analysismentioning

confidence: 99%