TEXTURE PRESERVING MULTI FRAME SUPER RESOLUTION WITH SPATIALLY VARYING IMAGE PRIOR

Date

2012-10-03

Author

Turgay, Emre
Akar, Gözde

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper proposes a new maximum a posteriori (MAP) based super-resolution (SR) image reconstruction method targeting edges and textures in images. Unlike conventional MAP based SR image reconstruction methods a spatially varying image prior is employed which is updated according to the frequency content of the reconstructed image at each iteration at different locations. Two alternative methods based on discrete cosine transforms (DCT) and Gabor filters are proposed for determining the image prior. The proposed method is validated through simulations and real experiments which clearly demonstrates significant visual improvements especially on edges and textures compared to state-of-the-art SR methods.

Subject Keywords

Texture, Super resolution, DCT, Gabor, Bayesian

URI

https://hdl.handle.net/11511/52745

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

E. Turgay and G. Akar, “TEXTURE PRESERVING MULTI FRAME SUPER RESOLUTION WITH SPATIALLY VARYING IMAGE PRIOR,” 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52745.