A Modified Multichannel Deconvolution Algorithm for Single Lens Imaging

Single lens imaging system with computational photography technology is a more efficient and low-cost way of capturing high-quality images, compared to modern imaging system with complex combined lenses. To solve the imaging deblurring problem, we propose a modified multichannel deconvolution algorithm based on regularization optimization method. New regularizers are used to explore the properties of space-variant blur kernels of single lens images. The resulting optimization problem is solved by alternating iterations. Experimental results show that the proposed method has better effects than single-channel method on simulations and tests on real images captured by our self- made single lens camera.