a) Prototype camera lens with CFA (b) Captured image (c) Depth map (d) Restored image Figure 1.Overview of the proposed method. We propose a novel single-shot depth acquisition method with a camera lens in which a color-filtered aperture (CFA) inserted. The captured image (b) taken with the prototype CFA (a). The CFA generates asymmetric defocus blurs. These asymmetric defocus blurs are confirmed as colored blurs in a region outside the focal plane in the captured image (b). The close-up image in (b) is captured in front of the focal plane and has the colored blurs, for example, the blurred edge of a white object is slightly colored with blue (left) and orange (right). By utilizing the blurs, the depth map (c) is estimated. The depth map (c) and the restored image (d) without the colored blurs are generated simultaneously because the depth estimation is equivalent to eliminating the colored blurs. AbstractWe propose a new method, Depth from Asymmetric Defocus using a Color-Filtered Aperture inserted into the camera lens aperture. The proposed method provides a highly accurate depth map from a single input image by combining a depth from defocus approach with color-filtered aperture photography. Author Keywords3D image sensing; depth from defocus; computational photography.

We developed a novel frame interpolation method to interpolate a frame between two successive original frames. Using this method, we are able to apply a double-rate driving method instead of an impulse driving method where a black frame is inserted between two successive original frames. The double-rate driving method enables ameliorati on of the motion blur of LCDs caused by the characteristics of human vision without reducing the luminosity of the whole screen. The image quality of the double-rate driving method was also found to be better than that of an impulse driving method using our motion picture simulator and an actual panel. Our initial model of our frame interpolation method consists of motion estimation with a maximum matching pixel count estimation function, an area segmentation technique, and motion compensation with variable segmentation threshold. Although salt and pepper noise remained in a portion of an object mainly due to inaccuracy of motion estimation, we verified the validity of our method and the possibility of improvement in hold-type motion blurring.

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