DocumentCode
3752466
Title
Equalized CR-dropping for Image Compression
Author
Chun-Hsiu Yeh;Jau-Ji Shen;Jinn-Ke Jan
Author_Institution
Dept. of Manage. Inf. Syst., Chung Chou Univ. of Sci. &
fYear
2015
Firstpage
121
Lastpage
124
Abstract
This paper proposes a new idea for image compression that neither the additional information nor the complex formulas for image decompression are needed. Our method includes removing image pixel values from the equalized selected rows and columns for image compression and uses known adjacent pixel values to calculate unknown pixel values for image decompression. We experimentally found that the image quality after compression and decompression by our method is better than that applying joint photographic experts group (JPEG) method for image compression and decompression. Furthermore, the quality of the decompressed images can be higher than that of JPEG images even when the compression rate is higher. Considering the LENA image, when the compression rate is 25%, the image quality in our method is 33.45 dB and that of JPEG images is 32.83 dB, when the compression ratio is 6.25%, the image quality in our method is 27.93 dB and that of JPEG images is 27.49 dB.
Keywords
"Image coding","Transform coding","Image restoration","Image quality","Quantization (signal)","Discrete cosine transforms","Standards"
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2015 International Conference on
Type
conf
DOI
10.1109/IIH-MSP.2015.53
Filename
7415773
Link To Document