A Review on Different Video Coding Standards

Arora, Vanshika

doi:10.17762/ijritcc2321-8169.1504144

Cited by 1 publication

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“…Consequently, information remains unchanged during the compression and decompression procedures. Since the decompression procedure reconstructs the original information, these types of compression techniques are known as reversible compressions by Arora and Saini (2015).…”

Section: Introductionmentioning

confidence: 99%

Discrete Shearlet Transform and Lempel-Ziv Welch Coding for Lossless Fingerprint Image Compression

Kadim,

Guirguis,

Elsayed

2024

Journal of Computer Science

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Image compression is a crucial task in image processing and in the process of sending and receiving files. There is a need for effective techniques for image compression as the raw images require large amounts of disk space to defect during transportation and storage operations. The most important objective of image compression is to decrease the redundancy of the image which helps in increasing the storage capacity and then efficient transmission. This study introduces a system for lossless image compression that is built to work on fingerprint image compression. It uses lossless compression to take care of the first image during processing. However, there is a serious problem which is the low ratio of compression. In order to make the ratio higher, there are five lossless compression techniques used in this study which are Elias Gamma Coding (EGC), Huffman Coding (HC), Arithmetic Coding (AC), Run-Length Encoding (RLE) and Lempel Ziv Welch (LZW). With these techniques, there are three types of transforms are used; they are Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Discrete Shearlet Transform (DST). The results conclude that discrete shearlet transform with the Lempel-Ziv Welch coding technique outperforms the other lossless compression techniques and its Compression Ratio (CR) is 3.678023.

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Section: Introductionmentioning

confidence: 99%