• Journal of Information Processing Systems
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• 제16권6호
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• pp.1479-1494
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• 2020

As an important part of image processing, image demosaicking has been widely researched. It is especially necessary to propose an efficient interpolation algorithm with good visual quality and performance. To improve the limitations of residual interpolation (RI), based on RI algorithm, minimalized-Laplacian RI (MLRI), and iterative RI (IRI), this paper focuses on adaptive RI (ARI) and proposes an improved ARI (IARI) algorithm which obtains more distinct R, G, and B colors in the images. The proposed scheme fully considers the brightness information and edge information of the image. Since the ARI algorithm is not completely adaptive, IARI algorithm executes ARI algorithm twice on R and B components according to the directional difference, which surely achieves an adaptive algorithm for all color components. Experimental results show that the improved method has better performance than other four existing methods both in subjective assessment and objective assessment, especially in the complex edge area and color brightness recovery.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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• pp.640-642
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• 1998

When resampling an image to a new set of coordinates, there is often a noticeable loss in image quality. The interpolation kernel determines the quality of interpolation. In this paper, We think two interpolation methods: cubic-spline method, neural net method, at first study given interpolation method using spline and then present new interpolation methon using SOFM and LAM(neural net method), finally compare the performance of several interpolation methods including replication, bilinear, spline and new methods.

• 한국정보통신학회논문지
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• 제17권10호
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• pp.2425-2430
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• 2013

본 논문은 이동 선형 보간법에서 영상에 종속적인 이동 매개변수를 제안한다. 기존의 이동 선형 보간법에서는 최적 이동 매개변수 값을 0.21로 제시하였다. 이는 이동된 선형 보간 커널의 스펙트럼 해석에 의해서 얻어진 것이다. 하지만, 이동된 보간 커널의 스펙트럼 뿐 만 아니라 입력 영상의 스펙트럼을 반영하면 최적 이동 매개변수 값이 달라질 수 있다. 따라서 본 논문에서는 영상에 종속적인 이동 매개변수를 도입하였다. 실제 예제 영상을 이용하여 평균적으로 최적인 이동 매개변수 값은 0.19로 확인되었다. 실험결과는 제안된 방법이 기존의 방법들인 선형 보간법, 3차 컨볼루션 보간법, 이동선형보간법과 비교하여 주관적으로나 객관적으로 우수하다는 것을 보였다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2001년도 추계학술대회(한국공작기계학회)
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• pp.381-386
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• 2001

When a input image is extensively magnified on the computer system, it is almost impossible to replicate the original shape because of mismatched coordinates system. In order to resolve the problem, the shape of the magnified image has been reconfigured using the bilinear interpolation method, low pass special filtering interpolation method and B-spline interpolation method, Ferguson curve interpolation method based on the CAD/CAM curve interpolation algorithm. The computer simulation main result was that. Nearest neighbor interpolation method is simple in making the interpolation program but it is not capable to distinguish the original shape. Bilinear interpolation method has the merit to make the magnified shape smooth and soft but calculation time is longer than the other method. Low pass spatial filtering method and B-spline interpolation method has an effect to immerge the intense of the magnified shape but it is also difficult to distinguish the original shape. Ferguson curve interpolation method has sharping shape than B-spline interpolation method.

• 한국멀티미디어학회논문지
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• 제24권6호
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• pp.768-788
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• 2021

The reversible data hiding technique safely transmits secret data to the recipient from malicious attacks by third parties. In addition, this technique can completely restore the image used as a transmission medium for secret data. The reversible data hiding schemes have been proposed in various forms, and recently, the reversible data hiding schemes based on interpolation are actively researching. The reversible data hiding scheme based on the interpolation method expands the original image into the cover image and embed secret data. However, the existing interpolation-based reversible data hiding schemes did not embed secret data during the interpolation process. To improve this problem, this paper proposes embedding the first secret data during the image interpolation process and embedding the second secret data into the interpolated cover image. In the embedding process, the original image is divided into blocks without duplicates, and the maximum and minimum values are determined within each block. Three way searching based on the maximum value and two way searching based on the minimum value are performed. And, image interpolation is performed while embedding the first secret data using the PVD scheme. A stego image is created by embedding the second secret data using the maximum difference value and log function in the interpolated cover image. As a result, the proposed scheme embeds secret data twice. In particular, it is possible to embed secret data even during the interpolation process of an image that did not previously embed secret data. Experimental results show that the proposed scheme can transmit more secret data to the receiver while maintaining the image quality similar to other interpolation-based reversible data hiding schemes.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.3165-3168
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• 1999

When a input image is extensively magnified on the computer system, it is almost impossible to replicate the original shape because of mismatched coordinates system. In order to resolve the problem, the shape of the magnified image has been reconfigured using the bilinear interpolation method, low pass special filtering interpolation method and B-spline interpolation method. Ferguson curve interpolation method based on the CAD/CAM curve interpolation algorithm.

• 산업기술연구
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• 제28권A호
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• pp.35-42
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• 2008

Recently, there are a lot of multimedia products to using image interpolation system. However, most interpolation systems in existence suffer visually to some extents the effects of blurred edges and jagged artifacts in the image. I in this paper, we propose the adaptive linear interpolation system that uses the sub-pixel. We system calculate the warped distance among the pixels of an image, and use data for Optimize length parameter. Our experimental results show that our new algorithm significantly outperforms linear interpolation in subjective quality, and in most cases, in terms of PSNR as well.

• 인터넷정보학회논문지
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• 제9권1호
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• pp.171-177
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• 2008

본 연구에서는 베이어패턴을 가지는 보간 알고리듬들을 조도에 따른 성능을 실험을 통해 평가하였다. 보간 알고리듬으로는 양선형 컬러 보간 기법과 적응형 퍼지 컬러 보간 기법을 사용하였는데, 실험 결과 저조도하에서는 양선형 컬러 보간기법에 미디언 필터를 적용한 보간 기법이, 고조도하에서는 적응형 퍼지 컬러 보간 기법이, 그리고 그 사이의 조도 하에서는 양선형 컬러 보간 기법이 우수한 영상을 생성함을 알 수 있었다. 이 결과를 응용하여 입력되는 영상의 조도에 따라서 각각 다른 보간 알고리듬을 적용하여 영상을 보간하면 다양한 조도 하에서도 향상된 화질을 얻을 수 있을 것이다.

• 전자공학회논문지
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• 제51권3호
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• pp.112-118
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• 2014

디지털 영상 확대를 위한 영상 스케일링은 고품질의 영상이 요구될수록 많은 수행시간 및 하드웨어 자원량이 요구된다. 본 논문에서는 적은 연산량 및 하드웨어 자원으로 고품질 영상을 생성하는 이중 선형-3차회선 보간법을 제안한다. 제안한 보간법은 4번의 선형 보간법과 1번의 3차회선 보간법으로 이루어진 선형-3차회선 보간법을 수평방향과 수직방향으로 각각 수행하는 구조이다. 실험결과, 제안하는 보간법은 PSNR과 수행시간 및 하드웨어 자원량 측면에서 비교했을 때, 적은 연산량 및 하드웨어 자원으로 양 3차회선 보간법보다 우수한 PSNR을 제공했다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1479-1481
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• 2003

The aim of this paper was mainly to interpret the real information-missing patch of image by using the kriging interpolation technology of spatial statistics. The TM Image of the Jingouling Forest Farm of Wangqing Forestry Bureau of Northeast China on 1 July 1997 was used as the tested material in this paper. Based on the classification for the TM image, the information pixel-missing patch of image was interpolated by the kriging interpolation technology of spatial statistics theory under the image treatment software-ERDAS and the geographic information system software-Arc/Info. The interpolation results were already passed precise examination. This paper would provide a method and means for interpreting the information-missing patch of image.