Real-time single frame superresolution

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2014

Öğrenci: CEM TARHAN

Danışman: GÖZDE AKAR

Özet:

A demand in real-time applications for superresolution increases as the surveillance and low resolution camera usage is spread for cost optimization. In this thesis two real-time superresolution algorithms have been proposed. The first algorithm (NDUID) is composed of non-dyadic upsampling cascade for smooth interpolation and an edge enhancement block that uses a non-blind deconvolution. Second algorithm (EDAT) starts with Total Variation decomposition. The structure component is interpolated with a fast edge adaptive interpolation and the edges are enhanced using a shock filter. Texture channel only upsampled by bicubic interpolation. The EDAT is also implemented on a Spartan 3A DSP FPGA to demonstrate the results on a real application. Experimental results show that implemented algorithm is capable of upsampling 320x240 resolution images by a factor of two at 52 fps with better quality than other real-time algorithms.