TY  - JOUR
T1  - Efficient Energy Consumption DCT-Based Image Compression in
Visual Sensor Network
AU - Khalaf Hasan, Khamees AU - Khalil Salih, Ibrahim AU - Jadoaa Ali, Kamil 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 11
SP  - 3719
EP  - 3727
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.3719.3727
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.3719.3727
KW  - JPEG
KW  -discarding process
KW  -DCT
KW  -retained coefficients
KW  -VSN
KW  -CR
AB  - For future wireless access technologies, the furthermost significant challenges will be the requirement
to process and transmit a huge volume of image data wirelessly. One method to relieve this difficulty is by
compression techniques to decrease the magnitude of transmitted image data over the wireless channel.
Discrete Cosine Transform DCT utilized as a kernel transform coding of Joint Photographic Experts Group
(JPEG) compression technique. DCT packing the image signal energy into few numbers of transformed
coefficients associated with low frequencies. The high frequency coefficients may be discarded with little loss
in image signal energy and that will not effect that much on the reconstructed image quality, since, the human
eye doesn’t sense the high frequency components. Using a modified version of JPEG according to the energy
requirement of Visual Sensor Network VSN an adapted JPEG method is proposed. This involves the concept
of processing only the low frequency portion of each block of the DCT coefficients of a given image. The
compression algorithm in the proposed JPEG scheme minimizes the computational complexity and reduces the
required energy consumption needed to transmit an image while it allows a trade-off between image distortion
using Peak Signal to Noise Ratio PSNR metric and Compression Ratio CR. When the number of retained useful
low frequency coefficient is 30% and less, the reconstructed images shows a noticeable degradation at all which
can be used to counter severe hardware constraints of various wireless devices applications.
ER  -