TY  - JOUR
T1  - Performance Analysis of Discrete Cosine Transform and Discrete
Wavelet Transform for Image Compression
AU - Hemachandran, K. AU - Rabi, B. Justus 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 2
SP  - 436
EP  - 440
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.436.440
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.436.440
KW  - Discrete cosine transform
KW  -discrete wavelet transform
KW  -image compression
KW  -JPEG
KW  -signal noise ratio
KW  -efficiency
AB  - To reduce the size of the image to store more images in the memory or disk and to reduce the transmit
time for sending the images over the internet or to download from internet image compression techniques are
used. With the growth of technology and entrance into the digital age, the world has found itself in the middle
of a enormous amount of information. Dealing with such enormous information can often present difficulties.
Image compression is decreasing the size in bytes of a graphics file without reducing the quality of the image
to an unacceptable level. In this study, a comparison was made between Discrete Cosine Transform (DCT) and
Discrete Wavelet Transform (DWT). The discrete cosine transform is a fast transform. It has excellent
compaction for highly correlated data. DCT has fixed basis images DCT gives good compromise between
information packing ability and computational complexity. Whereas DWT can also be used to reduce the image
size without losing much of the resolutions computed and values less than a pre-specified threshold are
discarded. Thus, it reduces the amount of memory required to represent given image. Comparing the efficiency
of the technique DWT is preeminent in image compression.
ER  -