An efficient algorithm for disparity map compression based on spatial correlations and its low-cost hardware architecture | Kütüphane.osmanlica.com

An efficient algorithm for disparity map compression based on spatial correlations and its low-cost hardware architecture

İsim An efficient algorithm for disparity map compression based on spatial correlations and its low-cost hardware architecture
Yazar Ghanim, Mustafa, Tasdizen, O., Uğurdağ, Hasan Fatih, Hamzaoğlu, İlker
Basım Tarihi: 2023-11
Basım Yeri - Elsevier
Konu Disparity estimation, Disparity map compression, FPGA, Hardware architecture
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0167-9260
Kayıt Numarası 833f424a-e75c-494e-b226-6176cfab6002
Lokasyon Electrical & Electronics Engineering, Computer Science
Tarih 2023-11
Örnek Metin This paper proposes a low-cost disparity map compression algorithm and its hardware architecture for high resolution and high frame rate applications. The proposed algorithm uses spatial correlations between neighboring disparities and has two variants. The first variant encodes the current disparity using its left neighbor, whereas the second variant benefits from left and upper neighbors. The proposed algorithm obtains 48% and 56% savings in memory space on the average for its variants. The proposed architecture can support 1080p resolution at 60 fps on a low-cost FPGA device while consuming very low area and power.
DOI 10.1016/j.vlsi.2023.102069
Cilt 93
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An efficient algorithm for disparity map compression based on spatial correlations and its low-cost hardware architecture

Yazar Ghanim, Mustafa, Tasdizen, O., Uğurdağ, Hasan Fatih, Hamzaoğlu, İlker
Basım Tarihi 2023-11
Basım Yeri - Elsevier
Konu Disparity estimation, Disparity map compression, FPGA, Hardware architecture
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0167-9260
Kayıt Numarası 833f424a-e75c-494e-b226-6176cfab6002
Lokasyon Electrical & Electronics Engineering, Computer Science
Tarih 2023-11
Örnek Metin This paper proposes a low-cost disparity map compression algorithm and its hardware architecture for high resolution and high frame rate applications. The proposed algorithm uses spatial correlations between neighboring disparities and has two variants. The first variant encodes the current disparity using its left neighbor, whereas the second variant benefits from left and upper neighbors. The proposed algorithm obtains 48% and 56% savings in memory space on the average for its variants. The proposed architecture can support 1080p resolution at 60 fps on a low-cost FPGA device while consuming very low area and power.
DOI 10.1016/j.vlsi.2023.102069
Cilt 93
Özyeğin Üniversitesi
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