The experimental results agree with analytical results of PLUS factorization, and show superior performance of our algorithms in image coding.
We demonstrated the performance of our SLO/OCT instrument to image and observe in vivo the three dimensional structure of human cone photoreceptors over extended periods of time.
We then evaluate ECE on four image datasets: USPS digital hand-writing, CMU PIE face, CIFAR-10 tiny image and SUN397 scene, showing the accurate and robust performance of our method for large-scale image classification.
To evaluate the performance of our proposed SVC scheme, several image sequences, e.g., "Breakdancer", "Flamenco", "Akko&kayo", "Ballet", "Close to you", "True legend", "2012", "New moon", and one music video, whose frame sizes are all 640 × 480 pixels, are used for testing.
The diagnostic performance of our method was evaluated with image data from human subjects.
We test the performance of our method in contour registration, sequence images and real images, and compare with six state-of-the-art methods where our method shows the best alignments in most scenarios.
The performance of our method is also quantified using image profile measured along 89th column of the test image as shown in Figure 5.
Comparing with the C-V model in the beginning, we test the performance of our method on some synthetic images.
Interestingly, the performance of our human subjects with equalized images compares in terms of percent correct responses with that obtained by other authors with images below 10% contrast, a condition in which discriminability was reduced [25].
