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Compression and enhancement of digital mammograms with wavelet footprints

V., Jeoti and H.T., Wei (2007) Compression and enhancement of digital mammograms with wavelet footprints. In: TENCON 2005 - 2005 IEEE Region 10 Conference, 21 November 2005 through 24 November 2005, Melbourne.

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Abstract

We propose a near lossless representation of digital mammograms using the wavelet footprint basis, that can simultaneously enhance the diagnostic features of the mammogram and yield some compression. Our simulations on sample mammograms show that this representation can achieve upto a 4X reduction in the number of samples required. The mammograms reconstructed from this representation have Peak Signal to Noise Ratios (PSNR) of around 39 to 40dB on average. More significantly, important diagnostic features in the mammogram can be visually enhanced by a simple scaling of the footprint components of the mammogram.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Computer simulation; Image reconstruction; Mammography; Signal to noise ratio; Wavelet analysis; Digital mammograms; Mammogram compression; Mammogram enhancement; Peak Signal to Noise Ratios (PSNR); Wavelet footprints; Image compression
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:439
Deposited By: Assoc Prof Dr Varun Jeoti
Deposited On:09 Mar 2010 01:59
Last Modified:19 Jan 2017 08:27

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