Fig. 1. Schematic of dynamic speckle OCTA system

Fig. 2. Flow chart of CEF algorithm

Fig. 3. Top view of dynamic speckle OCTA expanded into a series of eigenimages

Fig. 4. Top view of dynamic speckle OCTA expanded into first eigenimage and high-pass eigenimage. (a) Original top view; (b) first eigenimage; (c) high-pass eigenimage

Fig. 5. First eigenimage expanded into remodeled first eigenimage and orthogonal compensated product. (a)First eigenimage; (b) corresponding left singular vector and remodeled left singular vector; (c) right singular transpose vector; (d) remodeled first eigenimage; (e) orthogonal compensated product

Fig. 6. Comparison of results of destriping image processed by different algorithms. (a) Traditional eigenimage filtering algorithm; (b)CEF algorithm; (c) frequency rejection filtering algorithm; (d) tensor voting approach algorithm

Fig. 7. Relevant results of mouse experiment. (a) Original top view ; (b)first eigenimage; (c) remodeled first eigenimage; (d) orthogonal compensatory product; (e) high-pass eigenimage; (f) image processed by CEF algorithm; (g) image processed by frequency rejection filtering; (h) image processed by tensor voting approach algorithm

Table 1. Quantitative analysis of image quality processed by different destriping algorithms

Table 2. Quantitative analysis of image quality processed by different destriping algorithms