Download presentation
Presentation is loading. Please wait.
Published byPrimrose Wilkins Modified over 9 years ago
1
On the Use of Standards for Microarray Lossless Image Compression Author :Armando J. Pinho*, Antonio R. C.Paiva, and Antonio J. R. Neves Source :IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,VOL.53, NO. 3, MARCH 2006 Speaker: Ren-Li Shen 1
2
Outline Introduction Specialized Methods Standard Methods Experimental Results Sensitivity to Noise Conclusion 2
3
Introduction Standard image coding techniques applied to the lossless compression of microarray images JPEG2000 JBIG JPEG-LS Try to overcome some of the drawbacks Image sources 3
4
Introduction Trying to identify compression technologies Provide efficient lossless compression results Offer relevant features for the microarray image compression problem 4
5
Outline Introduction Specialized Methods Standard Methods Experimental Results Sensitivity to Noise Conclusion 5
6
Specialized Methods Four published methods Jornsten et al. Gridding and segmentation Using a low complexity lossless compression algorithm SLOCO Hua et al. Transform-based coding technique Segmentation is using the Mann-Whitney algorithm Separately spots and background 6
7
Specialized Methods Faramarzpour et al. Locating and extracting the microarray spots Transforming the ROI(region of interest) into an one- dimensional signal Lonardi et al. Lossless and lossy compression algorithms for microarray images Fully automatic gridding procedure Similar to Faramarzpour’s method Split into two channels Foreground Background 7
8
Outline Introduction Specialized Methods Standard Methods Experimental Results Sensitivity to Noise Conclusion 8
9
Standard Methods JBIG Context-based arithmetic coding Focused on bi-level imagery JPEG-LS Predictive coding Lossless compression of continuous-tone images JPEG2000 Transform based Providing a wide range of functionalities 9
10
Standard Methods (Experimental Results) Three different publicly available sources Apo AI set (32) ISREC set (14) MicroZip (3) Image size ranges from 1000 × 1000 to 5496 × 1956 pixels 10
11
Standard Methods (Experimental Results) 11
12
Standard Methods ( Sensitivity to Noise) 8bit-planes of cDNA microarray images are close to random and incompressible Result in some degradation in the compression performance Separated the images 8bit-planes 16bit-planes 12
13
Standard Methods ( Sensitivity to Noise) 13
14
Outline Introduction Specialized Methods Standard Methods Experimental Results Sensitivity to Noise Conclusion 14
15
Conclusion JPEG-LS gives the best lossless compression performance JBIG was consistently better than JPEG2000 The future of microarray image compression depends on special-purpose 15
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.