تلخیص
Image compression, an application of data compression, widely use in advance multimedia, communication and
graphical systems is used to minimize storage requirements and transmission cost. It increases transmission rate by
decreasing redundancy of image data in either lossy or lossless compression means. In this research work,
comparison of compression techniques is done using Compression Ratio (CR) and Bit-Per-Pixel (BPP) ratio as
performance parameters. Image compression by Huffman encoding, Embedded Zero tree Wavelet (EZW) and Set
Partitioning in Hierarchical Trees (SPINT) technique is performed. The result showed that lossy techniques are
reliable to save hardware memory consumption but having low CR ratio. In lossless techniques, CR ratio is higher
and it uses more space to store compressed image. Proposed comparison between lossy and lossless techniques is
supportive in choosing an optimal technique for image compression and facilitates the process of an efficient
compression.
Nageen Fatima, Sadia Murawwat, Syeda Ameena Rizvi. (2018) EVALUATION OF IMAGE COMPRESSION TECHNIQUES: AN IMPLEMENTATION OF TRUE COMPRESSION ON 2-D IMAGE, Journal of Innovative Sciences, VOLUME 4, ISSUE 1.
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