Image Compression Using Different Optimization Algorithms: A Review
Salma Gaber Abbas,Tarek Hassan Mohamed +1 more
TL;DR: This review assesses image compression techniques using various optimization algorithms, highlighting the need for efficient storage and transmission, and evaluating the performance of a proposed algorithm that outperforms existing methods in terms of PSNR and compression bit rate.
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Abstract: Image compression is most essential requirement for efficient utilization of storage space and transmission bandwidth. Image compression technique involves reducing the size of the image without degrading the quality of the image. Currently many image compression algorithms are used to deal with increasing amount of data involved but still finding the alternative solution is the area of research as shown in Fig 1. high detail). The 3D-DCT is then applied on the constructed cubes. A parallel implementation of the proposed algorithm is used to improve the computation time in two ways: the first one utilizes computation parallelization process using SPMD (Single Program Multiple Data) and the other method utilizes graphics processor unit (GPU) programming with CUDA language. The performance of proposed algorithm is evaluated using some of the most commonly used test images in the compression literature. Test results demonstrate that the proposed algorithm outperforms several compression methods in terms of Peak-Signal-to-Noise Ratio (PSNR) and compression bit rate.
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