Title
Image Processing – I: Spatial domain lossless image data compression method
Abstract/Description
Images has very significant role in digital media. However, generally digital imaging generates large amounts of data it need to be compressed, without loss of relevant information or simply lossless compression. This paper presents a novel lossless image compression technique in spatial domain. The proposed algorithm divide the image into no. of blocks uses variable bits to store each block pixels. Calculation of variable bits is dependent on pixel values of each block. The advantage of proposed scheme, it is dependent upon pixels correlation with in a block. Experimental results show that our proposed algorithm gives better compression efficiency as compared to many existing state-of-the-art lossless spatial domain image compression algorithms such as LZW, RLE and DEFLATE used in TIFF, GIF and PNG formats.
Location
Room C4
Session Theme
Image Processing – I
Session Type
Other
Session Chair
Dr. Sharifullah Khan
Start Date
24-7-2011 12:00 PM
End Date
24-7-2011 12:20 PM
Recommended Citation
Hassan, S. A., & Hussain, M. (2011). Image Processing – I: Spatial domain lossless image data compression method. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2011/2011/42
COinS
Image Processing – I: Spatial domain lossless image data compression method
Room C4
Images has very significant role in digital media. However, generally digital imaging generates large amounts of data it need to be compressed, without loss of relevant information or simply lossless compression. This paper presents a novel lossless image compression technique in spatial domain. The proposed algorithm divide the image into no. of blocks uses variable bits to store each block pixels. Calculation of variable bits is dependent on pixel values of each block. The advantage of proposed scheme, it is dependent upon pixels correlation with in a block. Experimental results show that our proposed algorithm gives better compression efficiency as compared to many existing state-of-the-art lossless spatial domain image compression algorithms such as LZW, RLE and DEFLATE used in TIFF, GIF and PNG formats.
