33.3: A Novel Image Compression Algorithm for Overdriving | Zendy

Lee Sung Kyu | Zendy; Yoo Donggon | Zendy; Kang Sukju | Zendy; Kim Young Hwan | Zendy

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33.3: A Novel Image Compression Algorithm for Overdriving

Author(s) -

Lee Sung Kyu,

Yoo Donggon,

Kang Sukju,

Kim Young Hwan

Publication year - 2008

Publication title -

sid symposium digest of technical papers

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.351

H-Index - 44

eISSN - 2168-0159

pISSN - 0097-966X

DOI - 10.1889/1.3069701

Subject(s) - image compression , computer science , data compression , algorithm , compression ratio , peak signal to noise ratio , image (mathematics) , compression (physics) , simple (philosophy) , frame (networking) , texture compression , data compression ratio , signal (programming language) , artificial intelligence , image processing , engineering , telecommunications , materials science , automotive engineering , philosophy , epistemology , composite material , internal combustion engine , programming language

An image compression algorithm is proposed to reduce the frame memory requirements in overdriving technologies. The algorithm is expected to have a simple hardware architecture. Experiments show that the algorithm provides an average peak signal‐to‐noise ratio above 35 dB, while also ensuring a compression ratio above 6:1.

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