Difference between revisions of "Compressed Sensing vs JPEG"
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| + | ==Short Description== | ||
JPEG is a widely used image compression strategy. It is based on transform coding, variable quantization and entropy encoding to obtain a more or less lossy version of an raw image. The computational complexity of both encoding the raw data and decoding of the image from the compressed data is approximately equal. Compressed Sensing is a method that ... | JPEG is a widely used image compression strategy. It is based on transform coding, variable quantization and entropy encoding to obtain a more or less lossy version of an raw image. The computational complexity of both encoding the raw data and decoding of the image from the compressed data is approximately equal. Compressed Sensing is a method that ... | ||
| + | |||
| + | ===Status: Available === | ||
| + | : Looking for 1 Master student | ||
| + | : Supervision: [[User:Bellasid|David Bellasi]] | ||
| + | |||
| + | ===Character=== | ||
| + | : 10% Theory | ||
| + | : 60% System/FPGA Design | ||
| + | : 30% Software | ||
| + | |||
| + | ===Prerequisites=== | ||
| + | : VLSI I | ||
| + | : Matlab, VHDL, C | ||
| + | |||
| + | ===Professor=== | ||
| + | [http://www.iis.ee.ethz.ch/portrait/staff/lbenini.en.html Luca Benini] | ||
| + | |||
| + | |||
| + | [[Category:Digital]] | ||
| + | [[Category:Master Thesis]] | ||
| + | [[Category:Available]] | ||
| + | [[Category:bellasid]] | ||
Revision as of 13:50, 6 June 2015
Short Description
JPEG is a widely used image compression strategy. It is based on transform coding, variable quantization and entropy encoding to obtain a more or less lossy version of an raw image. The computational complexity of both encoding the raw data and decoding of the image from the compressed data is approximately equal. Compressed Sensing is a method that ...
Status: Available
- Looking for 1 Master student
- Supervision: David Bellasi
Character
- 10% Theory
- 60% System/FPGA Design
- 30% Software
Prerequisites
- VLSI I
- Matlab, VHDL, C
