作者
Andri Kurniawan, Tito Waluyo Purboyo, Anggunmeka Luhur Prasasti
发表日期
2017
期刊
International Journal of Applied Engineering Research
卷号
12
期号
23
页码范围
13951-13958
简介
This research is research on the application of discrete transformation cosine (DCT), discrete wavelet transformation (DWT), and hybrid as a merger of both previous transformations in the process digital image data compression. Compression process done to suppress the source consumption memory power, speed up the transmission process digital image.
Image compression is the application of Data compression on digital images. The Discrete Cosine Transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Discrete Wavelet Transform (DWT) algorithm can compact the energy of image into a small number of coefficient, give combination information of frequency and time, so that more accurate to reconstruct of image.
引用总数
201920202021202220232024212331
学术搜索中的文章
A Kurniawan, TW Purboyo, AL Prasasti - International Journal of Applied Engineering Research, 2017