ANALISIS PEMROSESAN KOMPRESI CITRA MENGGUNAKAN TRANSFORMASI WAVELET
Abstract: Generally, an image
consists of huge data which requires large capacity media storage. Then, if the
image is going to be transmitted through telecommunication media, the transmission
channel to be used must have large bandwidth. The increasing capacity and bandwidth
of transmission channel cause data sending such as image with large data becomes
inefficient. Compression process can be
conducted to improve the efficiency in image sending process. Image compression
is a process to reduce the bit used in representing an image. The purpose of
compression process is to obtain image from reconstruction with smaller bit
without reducing the quality of the original image. To handle it, an
implementation of suitable image compression is needed and one of them is by
using wavelet transformation. Simulation result shows that grey image
reconstruction ”lena” is best for coif2 filter with PSNR score 38.6156,
”peppers” image is best for coif2 filter with PSNR score 41.8141 and ”coins”
image is best for coif2 filter with PSNR score 40.6666. While the
reconstruction image with ”wbarb” color is best for coif2 filter with PSNR
score 37.2284, ”earth” image is best for coif2 filter with PSNR score 37.3550
and ”clown” image is best for coif2 filter with one level decomposition with
PSNR score 37.5432.
Penulis: Suhartati Agoes
Kode Jurnal: jptlisetrodd090012
