“…To effectively reconstruct OCT images from noisy versions, researchers have proposed many different methods, which are generally grouped into two categories: hardware-based approaches [ [9] , [10] , [11] , [12] , [13] , [14] , [15] ] and software-based approaches [ [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] , [41] , [42] , [43] ]. However, the former category of approaches [ [9] , [10] , [11] , [12] , [13] , [14] , [15] ] requires significant modifications to existing imaging system hardware, which makes them less applicable to ordinary commercialized imaging equipment based on OCT technologies. By contrast, software-based post-processing approaches [ [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , …”