Superresolution Restoration From Directional Rectangular Blurred Images

Abstract

This paper presents a superresolution restoration technique that can restore high-resolution images from differently blurred low resolution images rather than using the motion information between low-resolution images. In order to restore the super-resolution image the rotatable aperture mask lens system is proposed. The proposed technique does not need to estimate point spread function at each frame. In addition, it does not require image registration because there is no global translational motion between low resolution images. By using a rotatable rectangular aperture, two consecutive captured images provide sufficiently exclusive information for superresolution. Therefore, the proposed method can reduce the registration error between the low-resolution image as well as the calculation amount for superresolution restoration.. The existing lens system of the camera can be extended to obtain a superresolution image by only adding an rotatable rectangular aperture mask. Finally, in order to verify the performance of the proposed system, experimental results are performed. By comparing with the existing superresolution methods, the proposed method showed the significant improvements in the sense of spatial resolution.

Bit Depth Expansion using Error Distribution

“…또한, 비트 심도 확장은 영 상의 밝기 범위인 다이나믹 레인지(Dyna-mic Range)를 높 여 영상의 표현력을 높여 줄 뿐만 아니라, 고해상도 영상의 표현이 가능하다는 장점이 존재한다 [6][7] [13] . [7] .…”