The test results validate that the proposed algorithm presents more reliable results than other existing techniques. Comparison is made based on comparative parameters such as peak signal to noise ratio, structural similarity index, feature similarity index, uniformity, normalized absolute error, quality index based on local variance, computational time, and mean square error. The result of the proposed algorithm is analyzed with other evolutionary algorithms such as artificial bee colony, sine cosine algorithm, and salp swarm algorithm. The solution fits SMB, entry-level enterprise, and critical applications where compliance is essential, such as Government. The proposed method utilized two entropy function to develop image segmentation by determining the optimal threshold. The 30 Series cameras are a perfect fit for dealers who are looking to sell simple, larger entry-level enterprise solutions to the compliant marketplace. The reconstructed histogram is free from the high-frequency fluctuation which causes local optima. The histogram of an input image divided into several band-limit modes using VMD then reconstruct histogram using meaningful modes. In this article, a newly developed multiverse optimization is combined with variational mode decomposition to overcome this problem. Histogram suffers from irregularities and sharp details which leads to stagnation. The computational time of multilevel thresholding rises exponentially as the number of the thresholds increases. Multilevel thresholding using the histogram is the most popular and accepted technique of image segmentation. 11-11 Memories Retold v 1.0 + DLC+ MULTi9 DODI Repack A Hat in Time (v7.0 + DLCs) DODI Repack A Juggler’s Tale (MULTi10) DODI Repack A Plague Tale: Innocence DLC + MULTi11 DODI Repack A Total War Saga: Troy (v1.2.0 Build 9687.2088628 + Amazons DLC + MULTi13) (From 9.

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