Adaptive-Length Coding of Image Data for Low-Cost Approximate Storage

In the past few years, ever-increasing amounts of image data have been generated by users globally, and these images are routinely stored in cold storage systems in compressed formats. This article investigates the use of approximate storage that leverages the use of cheaper, lower reliability memor...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE transactions on computers Ročník 69; číslo 2; s. 239 - 252
Hlavní autori:	Fan, Qianqian, Lilja, David J., Sapatnekar, Sachin S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive-length coding approximate storage Cold storage Discrete cosine transforms error-resilience Huffman codes Huffman coding Image coding Image compression JPEG encoders-decoders Reliability Resilience Storage systems Transform coding
ISSN:	0018-9340, 1557-9956
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!