Development of Low Power Image Compression Techniques

By: Pattanaik, Sunil KumarContributor(s): Mahapatra, Kamala Kanta [Supervisor] | Department of Electronics and Communication EngineeringMaterial type: TextTextLanguage: English Publisher: 2006Description: 95 pSubject(s): Engineering and Technology | Electronics and Communication Engineering | Image ProcessingOnline resources: Click here to access online Dissertation note: Thesis (M.Tech (R))- National Institute of Technology, Rourkela Summary: A BSTRACT Digital camera is the main medium for digital photography. The basic operation performed by a simple digital camera is, to convert the light energy to electrical energy, then the energy is converted to digital format and a compression algorithm is used to reduce memory requirement for storing the image. This compression algorithm is frequently called for capturing and storing the images. This lead s us to develop an efficient compression algorithm which will give the same result as that of the existing algorithms with low power consumption. As a result the new al gorithm implemented camera can be used for capturing more images then the previous one. 1) Discrete Cosine Transf orm (DCT) based JPEG is an accepted standard for lossy compression of still image. Quantisation is mainly responsible fo r the amount loss in the image quality in the process of lossy compression. A new Energy Quantisation (EQ) method proposed for speeding up the coding and decoding procedure whil e preserving image quality. Some of the high frequenc y components of the transformed sub image are preserved in accordance to th e quantisation value. There is no need of a dequantiser at the decoder side. This would enable reduction of hardware and would make the implementation much simple r. The proposed EQ method is modified and two new quatisation techniques Modified Energy Qu antisation (MEQ) and Rule Based Energy Quantisation (RBEQ) proposed to further reduce the hardware requirement. 2) DCT and IDCT are used for the coding an d decoding of the image. Calculations of both are independent to each othe r, so there is a need of two different ha rdware. Where as in case of DHT transform the forward and inverse transf orms are same except a scale factor in the inverse transform. As a resu lt the hardware requir ement to compute both the forward and inverse DHT is approximately reduced by 50 % as those of the DCT and IDCT. 3) All the Energy Quantisati on techniques prop osed are applied to further reduce the complexity of DHT based JP EG compression technique. 4) A new simple arithmetic compression technique is proposed for lossless compression. The computational complexity is very le ss compare to prev ious techniques. 5) All the image compression techniques proposed are synt hesised for Virtex XCV1000 device for the testing and ve rification of low complexity and hence low power. DHT based JPEG with rule based en ergy quantisation is an id eal solution for lossy image compression technique as the hardware requirement is less and power consumption is very low compare to other techniques.
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Thesis (Ph.D/M.Tech R) Thesis (Ph.D/M.Tech R) BP Central Library
Thesis Section
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Thesis (M.Tech (R))- National Institute of Technology, Rourkela

A
BSTRACT
Digital camera is the main medium for
digital photography. The basic operation
performed by a simple digital camera is, to convert the light energy
to electrical energy,
then the energy is converted
to digital format and a compression algorithm is used to
reduce memory requirement for storing the
image. This compression algorithm is
frequently called for capturing and storing
the images. This lead
s us to develop an
efficient compression algorithm which will give the same result as
that of the existing
algorithms with low power consumption. As
a result the new al
gorithm implemented
camera can be used for capturing more
images then the previous one.
1) Discrete Cosine Transf
orm (DCT) based JPEG is an accepted standard for lossy
compression of still image. Quantisation is
mainly responsible fo
r the amount loss in the
image quality in the process
of lossy compression. A new
Energy Quantisation (EQ)
method proposed for speeding
up the coding and decoding
procedure whil
e preserving
image quality. Some of the high frequenc
y components of the transformed sub image
are preserved in accordance to th
e quantisation value. There is
no need of a dequantiser
at the decoder side. This would enable
reduction of hardware
and would make the
implementation much simple
r. The proposed EQ method
is modified and two new
quatisation techniques Modified Energy Qu
antisation (MEQ) and Rule Based Energy
Quantisation (RBEQ) proposed to further reduce the hardware requirement.
2) DCT and IDCT are used for the coding an
d decoding of the image. Calculations of
both are independent to each othe
r, so there is a need of
two different ha
rdware. Where
as in case of DHT transform
the forward and inverse transf
orms are same except a scale
factor in the inverse transform. As a resu
lt the hardware requir
ement to compute both
the forward and inverse DHT is
approximately reduced by 50
% as those of the DCT and
IDCT.
3) All the Energy Quantisati
on techniques prop
osed are applied to further reduce the
complexity of DHT based JP
EG compression technique. 4) A new simple arithmetic compression technique is proposed for lossless compression.
The computational complexity is very le
ss compare to prev
ious techniques.
5) All the image compression
techniques proposed are synt
hesised for Virtex XCV1000
device for the testing and ve
rification of low complexity
and hence low power. DHT
based JPEG with rule based en
ergy quantisation is an id
eal solution for lossy image
compression technique as the
hardware requirement is less
and power consumption is
very low compare to other techniques.

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