Literature DB >> 8190962

Noise content analysis in clinical digital images.

K S Chuang1, B J Liu, H K Huang, H Yonekawa, A Sankaran.   

Abstract

Most digital modalities in radiology use 12 bits precision to store the digital images. To determine whether all these bits contain useful information, a statistical method called the Moran test was used to measure the noise level in computed tomographic, magnetic resonance, and digital radiographic images. The test was performed on the bit planes of each pixel. After the noise level was estimated, the pixel data were separated into signal bits and noise bits, and image enhancement techniques were applied on the noise-bits-removed images to demonstrate that the removal of noise bits did not affect image quality. Preliminary results showed no noticeable difference between the original images and the noise-bits-removed images.

Mesh:

Year:  1994        PMID: 8190962     DOI: 10.1148/radiographics.14.2.8190962

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  1 in total

1.  Quality degradation in lossy wavelet image compression.

Authors:  Tzong-Jer Chen; Keh-Shih Chuang; Jay Wu; Sharon C Chen; Ing-Ming Hwang; Meei-Ling Jan
Journal:  J Digit Imaging       Date:  2003-10-02       Impact factor: 4.056

  1 in total

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