a super resolution algorithm for surveillance images
DESCRIPTION
A paper presentation on super resolution algorithm using weighted Markov random fieldsTRANSCRIPT
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Reconstructed with HWMRF
High resolution
image
Reconstructed with HWRF
Reconstructed with HWMRF
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ππ π΅ π·
πΈ π = π¦π β π¦π(π,π) 2
β’ π§ = ππππππ₯ π π¦ π§ π(π§)
π(π¦)
π§ = ππππππ[ βπ¦π β π΄ππ§β
π
2+ Ξ»π€(π§)]
π€ z = ππ π§ = π€ππ(ππ,πππ§)4
π=1πΏ2π2β1π=0
πΏ1π1β1π=0πβπΆ
β’ ππ,π1 π₯ = π₯π,π+1 β 2π₯π,π + π₯π,πβ1
β’ ππ,π2 π₯ =
2
2(π₯πβ1,πβ1 β 2π₯π,π + π₯π+1,π+1)
β’ ππ,π3 π₯ = π₯π+1,π β 2π₯π,π + π₯πβ1,π
β’ ππ,π4 π₯ =
2
2(π₯πβ1,π+1 β 2π₯π,π + π₯π+1,πβ1)
β’ π π§ π = π΄ππ π΄ππ§
π β π¦π +π βπ€ π§ π
β’ π΄ππ π΄ππ§
π β π¦π = ππππ΅ππ·π(π·π΅πππ§
π β π¦π)
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Low resolution image
Reconstruction with HMRF
Reconstruction with HWMRF
High resolution image
Low resolution image
Reconstruction with HMRF
Reconstruction with HWMRF
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Surveillance image
Reconstruction using HMRF
Reconstruction using HWMRF
Surveillance image
Reconstruction using HMRF
Reconstruction using HWMRF
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