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Table 2 Comparison of SSIM between the proposed algorithm and state to the art methods

From: Simultaneous encryption and compression of medical images based on optimized tensor compressed sensing with 3D Lorenz

Methods

Compression ratio

\(\frac{{(256)^{3} }}{{(512)^{3} }} = 0.125\)

\(\frac{{(352)^{3} }}{{(512)^{3} }} = 0.33\)

\(\frac{{(384)^{3} }}{{(128)^{3} }} = 0.42\)

\(\frac{{(416)^{3} }}{{(512)^{3} }} = 0.54\)

\(\frac{{(448)^{3} }}{{(512)^{3} }} = 0.67\)

\(\frac{{(480)^{3} }}{{(512)^{3} }} = 0.82\)

Algorithm 1

0.1406

0.2198

0.3060

0.4378

0.6090

0.8000

Algorithm 2

0.8293

0.9004

0.9195

0.9157

0.9259

0.9312

Algorithm 3

0.7474

0.8664

0.8945

0.9165

0.9314

0.9474

Proposed algorithm

0.9122

0.9468

0.9508

0.9533

0.9544

0.9549