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In this paper, we propose an effective image compression noise reduction system based on the total variation (TV) regularization method. Our system allows the removal of MPEG-2 compression noise such as mosquito noise and blocky noise without losing picture sharpness. This method is particularly useful for HDTV terrestrial broadcasting with insufficient transmission bandwidth for noise-free HDTV pictures...
A robust whole-image super-resolution is highly demanded. Whole-image super-resolution requires target-region extraction and motion estimation because an image sequence usually includes multiple targets and a background. A single- motion model is insufficient to represent whole-image motion. In addition, high-accuracy motion estimation is necessary for super-resolution. Simultaneous target-region...
The appearance of a distant object, when viewed through a telephoto-lens, is often deformed nonuniformly by the influence of hot-air optical turbulence. The deformation is unsteady: an image sequence can include nonuniform movement of the object even if a stationary camera is used for a static object. This study proposes a multi-frame super-resolution reconstruction from such an image sequence. The...
This paper proposes a novel image resolution up-scaling method using discrete-time cellular neural network (DT-CNN) with multi-level quantization function for output of a cell. The nonlinear interpolative approximation capability of the DT-CNN is used to generate an resolution enhanced image from its low-resolution version. Our proposed method consists of two-layered DT-CNN. At the first layer stage,...
Pixel mixture is a technique to reduce the read-out time of an image by mixing multiple pixel values on an imager. Ordinary pixel mixtures mix the values of equicolor pixels. However, the equicolor pixels are not contiguous on the Bayer pattern. Mixing non-contiguous pixels degrades the resolution of the mixed image. This paper proposes a novel pixel mixture method which we call a "neighbor pixel...
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