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Difference between revisions of "Compressed Sensing vs JPEG"

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==Short Description==
 
==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 using the DCT (discrete cosine transform), variable quantization and entropy encoding to obtain a more or less lossy compression of raw image data. The computational complexity of both the encoding of raw data and decoding of the image from the compressed data is approximately equal. Compressed Sensing is a method that ...
  
 
===Status: Available ===
 
===Status: Available ===
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===Character===
 
===Character===
 
: 10% Theory
 
: 10% Theory
: 60% System/FPGA Design
+
: 60% Matlab Simulation
: 30% Software
+
: 30% VLSI design
  
 
===Prerequisites===
 
===Prerequisites===
 +
: Matlab, VHDL
 
: VLSI I
 
: VLSI I
: Matlab, VHDL, C
 
  
 
===Professor===
 
===Professor===

Revision as of 12:55, 6 June 2015

Short Description

JPEG is a widely used image compression strategy. It is based on transform coding using the DCT (discrete cosine transform), variable quantization and entropy encoding to obtain a more or less lossy compression of raw image data. The computational complexity of both the encoding of 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% Matlab Simulation
30% VLSI design

Prerequisites

Matlab, VHDL
VLSI I

Professor

Luca Benini