Title :
Compression technique for DubaiSat-2 images based on the DCT blocks
Author :
AL-Mansoori, Saeed
Author_Institution :
Applic. Dev. & Anal. Center (ADAC), Emirates Instn. for Adv. Sci. & Technol. (EIAST), Dubai, United Arab Emirates
Abstract :
This paper presents an image compression technique for DubaiSat-2 based on Discrete Cosine Transform (DCT). Initially, the image is divided into non-overlapping sub-blocks and transformed to a frequency domain using DCT. Then the thresholding technique is applied to eliminate lower energy coefficients. The resultant coefficients are quantized at a user specified bit rates. The proposed method is tested on both gray scale and color images. The performance of the proposed method is analyzed using Peak Signal-to-Noise Ratio (PSNR).
Keywords :
data compression; discrete cosine transforms; image coding; image colour analysis; DCT blocks; DubaiSat-2 image; PSNR; color image; discrete cosine transform; energy coefficient; frequency domain; gray scale image; image compression technique; peak signal-to-noise ratio; thresholding technique; Bit rate; Color; Discrete cosine transforms; Frequency conversion; Image coding; PSNR; Quantization (signal); Discrete Cosine Transform (DCT); DubaiSat-2; Image compression; Mean Square Error (MSE); Peak Signal-to-Noise Ratio (PSNR); Quantization; Thresholding;
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2014 20th IEEE International Conference on
DOI :
10.1109/PADSW.2014.7097913
