SUPER-RESOLUTION USING MULTIPLE QUANTIZED IMAGES

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2010-09-29

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Ozcelikkale, Ayca
Akar, Gözde
ÖZAKTAŞ, MEMDUH HALDUN

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In this paper, we study the effect of limited amplitude resolution (pixel depth) in super-resolution problem. The problem we address differs from the standard super-resolution problem in that amplitude resolution is considered as important as spatial resolution. We study the trade-off between the pixel depth and spatial resolution of low resolution (LR) images in order to obtain the best visual quality in the reconstructed high resolution (HR) image. The proposed framework reveals great flexibility in terms of pixel depth and number of LR images in super-resolution problem, and demonstrates that it is possible to obtain target visual qualities with different measurement scenarios including images with different amplitude and spatial resolutions.

Subject Keywords

Pixel depth, Amplitude resolution, Quantization, Super-resolution

URI

https://hdl.handle.net/11511/47462

DOI

https://doi.org/10.1109/icip.2010.5651039

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

A. Ozcelikkale, G. Akar, and M. H. ÖZAKTAŞ, “SUPER-RESOLUTION USING MULTIPLE QUANTIZED IMAGES,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47462.