Adaptive Image Interpolation Based on Local Gradient Features

Hwang, Jung Woo; Lee, Hwang Soo

doi:10.1109/lsp.2003.821718

Cited by 235 publications

(107 citation statements)

References 11 publications

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“…Techniques for edge detection in adaptive edge-directed interpolation methods are usually based on pixel correlation [1,4], local pixel classification [5,6,7], or local gradients [8,9]. In this work, we adapt the boundary model proposed by Kindlmann and Durkin [10], which is related to the edge detectors by Canny [11] and by Marr and Hildreth [12].…”

Section: Edge Preservationmentioning

confidence: 99%

GPU-Based Edge-Directed Image Interpolation

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Abstract. The rendering of lower resolution image data on higher resolution displays has become a very common task, in particular because of the increasing popularity of webcams, camera phones, and low-bandwidth video streaming. Thus, there is a strong demand for real-time, high-quality image magnification. In this work, we suggest to exploit the high performance of programmable graphics processing units (GPUs) for an adaptive image magnification method. To this end, we propose a GPUfriendly algorithm for image up-sampling by edge-directed image interpolation, which avoids ringing artifacts, excessive blurring, and staircasing of oblique edges. At the same time it features gray-scale invariance, is applicable to color images, and allows for real-time processing of full-screen images on today's GPUs.

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Section: Edge Preservationmentioning

confidence: 99%

GPU-Based Edge-Directed Image Interpolation

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“…현재 나온 많은 기술들은 더 많은 연산 능력을 사용하여 LI와 CCI보다 더 좋은 화질 을 제공한다 [4]- [5], [9]- [13]. 예를 들어, CCI에 적응 매개 변수를 적용하는 것은 화질은 향상되지만 적응 매개 변수를 결정하는데 많은 연산비용이 요구된다 [4]- [5], [10]- [12] [18].…”

Section: 서 론unclassified

Efficient Modifications of Cubic Convolution Interpolation Based on Even-Odd Decomposition

Cho¹,

Yoo²

2014

The Transactions of The Korean Institute of Electrical Engineer

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-This paper presents a modified CCI image interpolation method based on the even-odd decomposition (EOD). The CCI method is a well-known technique to interpolate images. Although the method provides better image quality than the linear interpolation, its complexity still is a problem. To remedy the problem, this paper introduces analysis on the EOD decomposition of CCI and then proposes a reduced CCI interpolation in terms of complexity, providing better image quality in terms of PSNR. To evaluate the proposed method, we conduct experiments and complexity comparison. The results indicate that our method do not only outperforms the existing methods by up to 43% in terms of MSE but also requires low-complexity with 37% less computing time than the CCI method.

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“…Last, substitution of h x and h y in (4) gives the estimated HR edge information. Using the obtained C, (8) can be rewritten as the linear least squares problem…”

Section: Interpolation Algorithmmentioning

confidence: 99%

Image Interpolation Using Edge-Directed Smoothness Measure Filter

Mishiba

Ikehara

2010

IEICE Trans. Inf. & Syst.

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SUMMARYThis paper proposes a novel adaptive image interpolation method using an edge-directed smoothness filter. Adaptive image interpolation methods tend to create higher visual quality images than traditional interpolation methods such as bicubic interpolation. These methods, however, often suffer from high computational costs and production of inadequate interpolated pixels. We propose a novel method to overcome these problems. Our approach is to estimate the enlarged image from the original image based on an observation model. Obtaining an image with edge-directed smoothness, we constrain the estimated image to have many edge-directed smooth pixels which are measured by using the edge-directed smoothness filter introduced in this paper. Additionally, we also propose a simplification of our algorithm to run with lower computational complexity and smaller memory. Simulation results show that the proposal method produces images with high visual quality and performs well on PSNR and computational times. key words: adaptive image interpolation, edge-directed smoothness, observation model

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Adaptive Image Interpolation Based on Local Gradient Features

Cited by 235 publications

References 11 publications

GPU-Based Edge-Directed Image Interpolation

GPU-Based Edge-Directed Image Interpolation

Efficient Modifications of Cubic Convolution Interpolation Based on Even-Odd Decomposition

Image Interpolation Using Edge-Directed Smoothness Measure Filter

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