Abstract
Abstract In this paper, we propose a video resampling method for simultaneous deinterlacing and image upscaling. The proposed method is composed of two steps: the initial image magnification step and the edge enhancement step. In order to convert an interlaced image into a display format image, a filtering strategy, which resizes images with arbitrary ratios and reduces the overall computational load, is performed region adaptively using local characteristics such as motion or motionless regions. After the initial step, the proposed jagged edge correction (JEC) method is applied to the initially upscaled images to correct the stair-like artifacts (jagged edges) which are caused by ignoring any edge information in diagonal edge regions during the linear filtering process. Moreover, this method can be very useful for various upscaling applications to improve edge quality since it can be used in combination with other common interpolation techniques, such as cubic spline techniques. Experimental results show that the proposed method substantially reduces the jagged edges of the converted images and provides steep and natural-looking edge transitions.
Highlights
Over the last several decades, image resolution has rapidly increased, and advanced display devices like highdefinition television (HDTV) have been developed to keep pace with these rapid changes
4 Experimental results The performance of the proposed method was tested with well-known common intermediate format (CIF), SD, and HD video sequences
The interpolated positions of deinterlacing and upscaling were adaptively adjusted for the cubic spline (CS) and Lanczos, respectively
Summary
Over the last several decades, image resolution has rapidly increased, and advanced display devices like highdefinition television (HDTV) have been developed to keep pace with these rapid changes. EDI approaches produce good performance in edge regions, they require high complexity in order to offer spatial coherence of the upscaled images. These methods may require additional LFI methods for achieving arbitrary ratio enlargement after performing the EDI process. We propose a video resampling method that takes the advantage of both the LFI and EDI methods: the capabilities of converting the image format, resizing the images with arbitrary ratios, and improving edge quality. It is clear that the side lobes of an interpolation filter can improve reconstruction performance in edge regions, but they can degrade the image quality because of the ringing artifacts
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