Analysis of filtering techniques and image quality in pixel duplicated images

Mehrube Mehrubeoglu; Lifford McLauchlan

doi:10.1117/12.828387

3 September 2009 Analysis of filtering techniques and image quality in pixel duplicated images

Proceedings Volume 7444, Mathematics for Signal and Information Processing; 744405 (2009) https://doi.org/10.1117/12.828387
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

When images undergo filtering operations, valuable information can be lost besides the intended noise or frequencies due to averaging of neighboring pixels. When the image is enlarged by duplicating pixels, such filtering effects can be reduced and more information retained, which could be critical when analyzing image content automatically. Analysis of retinal images could reveal many diseases at early stage as long as minor changes that depart from a normal retinal scan can be identified and enhanced. In this paper, typical filtering techniques are applied to an early stage diabetic retinopathy image which has undergone digital pixel duplication. The same techniques are applied to the original images for comparison. The effects of filtering are then demonstrated for both pixel duplicated and original images to show the information retention capability of pixel duplication. Image quality is computed based on published metrics. Our analysis shows that pixel duplication is effective in retaining information on smoothing operations such as mean filtering in the spatial domain, as well as lowpass and highpass filtering in the frequency domain, based on the filter window size. Blocking effects due to image compression and pixel duplication become apparent in frequency analysis.

Citation Download Citation

Mehrube Mehrubeoglu and Lifford McLauchlan "Analysis of filtering techniques and image quality in pixel duplicated images", Proc. SPIE 7444, Mathematics for Signal and Information Processing, 744405 (3 September 2009); https://doi.org/10.1117/12.828387

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KEYWORDS

Image filtering

Image segmentation

Image quality

Image processing

Electronic filtering

Image analysis

Image enhancement

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