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Lossless and lossy compression-decompression Digital color images [12], [13], [14] are some time require a lossless method for compressiondecompression because they may be a covering image which contains a hidden secret data [15], [16], and here we must seek an efficient method of data compression-decompression[17],[18],[19] and here efficient mean[17]: Maximizing compression ratio (CR). Minimizing compression time (CT). Minimizing decompression time (DT).
Source publication
Data compression is a size reduction of data to be sent via network or to be stored on auxiliary storage for long time, thus data compression will save storage capacity, speed up file transfer, speedup data transmission by decreasing transferring time, and decrease costs for storage hardware and network bandwidth. In this paper we will invistigate...
Context in source publication
Context 1
... compression is useful with images, audio, graphics, video, where the removal of some data has little or no discernible effect on the representation of the original data contents [10]. Figure 1 shows the differences between these tasks: [12], [13], [14] are some time require a lossless method for compressiondecompression because they may be a covering image which contains a hidden secret data [15], [16], and here we must seek an efficient method of data compression-decompression [17], [18], [19] and here efficient mean [17]: Maximizing compression ratio (CR). Minimizing compression time (CT). ...
Citations
... Compression operation is used to reduce the image size by a factor called compressing ratio (CR), which is equal the original image size divided by the compressed file size (see figure 4), and for effective method of compression this factor must be greater than 1, and the higher its value, the more effective the method of compression Compression reduces the transmission time by reducing the image size, for example: residential internet connections deliver data at speeds ranging 56 Kbps via conventional phone lines to more than 12 Mbps for broadband, the time required to transmit a small 128x128x24 bit full color image over this range of speeds is from 7 to 0.03 seconds, if CR=20, then range will be reduced to 0.35 to 0.0015 seconds [28], [29]. Image compression plays an important role in other areas, including tele-video conferencing, remote sensing, storage, and transmission of binary, gray scale, and color images [30], [31]. The importance of compression operation forces us to seek an effective method of data compression; efficient method of data compression will be characterized by the following features: ...
... -Data lose minimization; the decrypted data must equal or very closed to the original data. Many methods are now used for data compression-decompression such as LZW, Huffman and DCT methods; table 1 summarizes the features of these methods [28][29][30][31][32][33]: ...
Data compression is a process of reducing the data size to minimize the storage size and the data transmission time, will decompression means recovering the original data without losing any piece of information. In this research paper we will introduce an efficient method of data compression-decompression, this method will based on using FIR filter coefficients and linear prediction coding, the method will be tested and implemented to show how this method will increase the compression ratio and how to speed up the process of compression-decompression by comparing the obtained experimental results with the results of other existing methods.
