Monagi Alkinani and Mahmoud R. El-Sakka, "Non-Local Means for
Stereo Images Denoising Using Structural Similarity",
International Conference on Image Analysis and Recognition,
ICIAR'2015, LNCS 9164, pp. 51-59, Springer-Verlag Berlin
Heidelberg, July 2015, Niagara Falls, Canada.
We present a novel stereo image-denoising algorithm. Our
algorithm takes pair of noisy images of an object taken from
different directions as inputs and collects similar patches.
We use structure similarity SSIM index as a similarity metric
for identifying location of similar patches in the input
images. We adapt NL-Means algorithm for denoising collected
patches from the input images. We validate our algorithm on
stereo images with different content at various noise levels.
We compare our algorithm with several denoising methods
including NL-Means method. Our algorithm achieves better
results than other methods.