• 전기전자학회논문지
• /
• 제2권2호
• /
• pp.239-246
• /
• 1998

영상 압축을 위한 방법으로서 수리형태학적 상세부분(details)의 추출을 위한 방법인 post-it 변환 과정 중에서 기존에는 상세부분(details)를 추출하는 단계의 참조영상을 일반 top-hat 결과로 취함으로서 상세부분(details)의 정보량이 많아 지고 밝고 어두운 상세부분(details)을 뺀 smoothed 영상이 평활화 되지 않고 오히려 공간주파수가 높아지는 단점이 있으므로 본 논문에서는 그러한 단점을 극복하기 위해 참조영상을 일반 top-hat이 아닌 재생 top-hatd의 사용을 제안함으로서 상세부분(details) 영상과 smoothed 영상의 압축효율 증대와 재생과정상의 반복연산수 감소 효과가 발생함을 보인다. 그러나 이러한 결과는 단독적으로 사용되는것이 아니라 동화상의 고효율 압축시 그 일부 과정으로 이용하며 이러한 변형 post-it 변환을 분할기반 부호화와 연계하여 동화상 비디오 시퀸스에 적용함으로서 본래 목적하였던 초저속 동화상 전송을 위한 고효율 압축을 실현하고자 한다.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제15권1호
• /
• pp.35-44
• /
• 2015

The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.

• Journal of Information Processing Systems
• /
• 제17권5호
• /
• pp.1004-1019
• /
• 2021

To solve the problems of the low image contrast, fuzzy edge details and edge details missing in noisy image fusion, this study proposes a noisy infrared and visible light image fusion algorithm based on non-subsample contourlet transform (NSCT) and an improved bilateral filter, which uses NSCT to decompose an image into a low-frequency component and high-frequency component. High-frequency noise and edge information are mainly distributed in the high-frequency component, and the improved bilateral filtering method is used to process the high-frequency component of two images, filtering the noise of the images and calculating the image detail of the infrared image's high-frequency component. It can extract the edge details of the infrared image and visible image as much as possible by superimposing the high-frequency component of infrared image and visible image. At the same time, edge information is enhanced and the visual effect is clearer. For the fusion rule of low-frequency coefficient, the local area standard variance coefficient method is adopted. At last, we decompose the high- and low-frequency coefficient to obtain the fusion image according to the inverse transformation of NSCT. The fusion results show that the edge, contour, texture and other details are maintained and enhanced while the noise is filtered, and the fusion image with a clear edge is obtained. The algorithm could better filter noise and obtain clear fused images in noisy infrared and visible light image fusion.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권8호
• /
• pp.2749-2763
• /
• 2021

The desirable result of infrared (IR) and visible (VIS) image fusion should have textural details from VIS images and salient targets from IR images. However, detail information in the dark regions of VIS image has low contrast and blurry edges, resulting in performance degradation in image fusion. To resolve the troubles of fuzzy details in dark regions of VIS image fusion, we have proposed a method of reflectance estimation for IR and VIS image fusion. In order to maintain and enhance details in these dark regions, dark region approximation (DRA) is proposed to optimize the Retinex model. With the improved Retinex model based on DRA, quasi-Newton method is adopted to estimate the reflectance of a VIS image. The final fusion outcome is obtained by fusing the DRA-based reflectance of VIS image with IR image. Our method could simultaneously retain the low visibility details in VIS images and the high contrast targets in IR images. Experiment statistic shows that compared to some advanced approaches, the proposed method has superiority on detail preservation and visual quality.

• 한국조경학회지
• /
• 제29권5호
• /
• pp.71-83
• /
• 2001

The purpose of this study is to find out the characteristics of landscape details in representing symbolic images in memorials on the themes of war, tragedy, and the democratization movement. In considering the characteristics of memorial landscapes, the researcher divided the characteristics of landscape details into 3 analysis categories. They are the symbolic application of landscape elements, the embodiment of landscape details, and the organization of landscape details to represent symbolic images, for example, memory, mourning, reflection, healing, glory, and identity. Among details in 24 memorials designed in or after 1970. 133 symbolic details were selected including 64 items in Korea. The analysis revealed that among 30 elements used by designers for memorialization, walls, ponds, sculptures were used more often than other elements in representing the meaning of mourning, reflection, and healing that are the basic function of memorial. In regard to detail form, the designers used basic shapes like circles, squares and rectangles, horizontal and vertical lines to heighten the symbolic effect of shapes in confined form. Stone and water utilized from nature were also used as main materials because of their materiality meaning of death, eternity, life, and healing. The techniques of using lighting, fire, and sound were introduced to make details more effective. Details were organized in harmony and repetition to represent the flew of time and space in symbolic images. The study identified the following characteristics of memorial landscapes in Korea that were different from other country first, in designing memorials, most designers in Korea have been more focused on the organization of space than the details in memorials, and so, they have been neglecting to deliver symbolic image through detail design, while depending mainly on the introduction of art works. Lastly, because they introduced traditional elements which have little relation with the symbolic image needed, there have been many details which inaccurately represent symbolic meanings.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제14권9호
• /
• pp.3745-3761
• /
• 2020

Low-rank representation methods already achieve many applications in the image reconstruction. However, for high-gradient image patches with rich texture details and strong edge information, it is difficult to find sufficient similar patches. Existing low-rank representation methods usually destroy image critical details and fail to preserve edge structure. In order to promote the performance, a new representation-based image super-resolution reconstruction method is proposed, which combines gradient domain guided image filter with the structure-constrained low-rank representation so as to enhance image details as well as reveal the intrinsic structure of an input image. Firstly, we extract the gradient domain guided filter of each atom in high resolution dictionary in order to acquire high-frequency prior information. Secondly, this prior information is taken as a structure constraint and introduced into the low-rank representation framework to develop a new model so as to maintain the edges of reconstructed image. Thirdly, the approximate optimal solution of the model is solved through alternating direction method of multipliers. After that, experiments are performed and results show that the proposed algorithm has higher performances than conventional state-of-the-art algorithms in both quantitative and qualitative aspects.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.192-194
• /
• 2003

Since the details in quasi-homogeneous region will be destroyed from the conventional global image enhancement method such as histogram equalization. This defect is caused by the saturation of gray level in equalization process. So the local histogram equalization for each quasi-homogeneous region will be used in order to improve the details in the region itself. To obtain the quasi- homogeneous regions, the original image must be segmented. Here we applied the watershed transform to the interesting image. Since the watershed transform is based on mathematical morphology, therefore, the regions touch can be effectively separated. Hence two adjacent regions which have the similar gray pixels will be split off. The process will be independently applied to three different spectral images. Then three different colors are assigned to each processed image in order to produce a color composite image. By the proposed algorithm, the result image shows the better perception on image details. Therefore, the high efficiency of image classification can be obtained by using this color image.

• Journal of Information Processing Systems
• /
• 제19권3호
• /
• pp.275-288
• /
• 2023

Many image edge details are easily lost in the image denoising process, and the smooth image regions are prone to produce jagged. In this paper, we propose a wavelet-based image global k- singular value decomposition variational method to remove image noise. A layer of wavelet decomposition is applied to the noisy image first. Then, the image global k-singular value decomposition (IGK-SVD) method is used to remove the random noise of low-frequency components. Furthermore, a constructed variational denoising method (VDM) removes the random noise in the high-frequency component. Finally, the denoised image is obtained by wavelet reconstruction. The experimental results show that the proposed method's peak signal-to-noise ratio (PSNR) value is higher than other methods, and its structural similarity (SSIM) value is closer to one, indicating that the proposed method can effectively suppress image noise while retaining more image edge details. The denoised image has better denoising effects.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2022년도 추계학술발표대회
• /
• pp.656-658
• /
• 2022

The purpose of infrared and visible image fusion is to integrate images of different modes with different details into a result image with rich information, which is convenient for high-level computer vision task. Considering many deep networks only work in a single scale, this paper proposes a novel image fusion based on three-scale dense network to preserve the content and key target features from the input images in the fused image. It comprises an encoder, a three-scale block, a fused strategy and a decoder, which can capture incredibly rich background details and prominent target details. The encoder is used to extract three-scale dense features from the source images for the initial image fusion. Then, a fusion strategy called l₁-norm to fuse features of different scales. Finally, the fused image is reconstructed by decoding network. Compared with the existing methods, the proposed method can achieve state-of-the-art fusion performance in subjective observation.

• 한국컴퓨터그래픽스학회논문지
• /
• 제8권3호
• /
• pp.9-16
• /
• 2002

고명암 대비 영상은 일반적인 영상가는 달리 장면의 휘도를 그대로 지니고 있기 때문에 많은 분야에 걸쳐 유용하게 사용되고 있다. 하지만 고명암 대비 영상은 영상 출력 장치가 표현 가능한 명암 대비의 범위를 벗어 나기 때문에 고명암 대비를 압축해야만 영상 출력 장치에 나타낼 수 있다. 본 논문에서는 고명암 대비 영상을 점진적 영상으로 변환하여 명암 대비를 압축하는 방법을 제시한다. 점진적 영상은 점진적 메쉬에 기반한 영상 표현 방법으로 하나의 영상을 기반 영상과 정점 분할 및 세부 정보의 나열로 표현한다. 점진적 영상으로 표현된 고명암 대비 영상은 기반 영상과 세부 정보의 크기를 스케일링하여 명암 대비를 압축한다. 스케일링에 사용되는 가중치는 세부 정보의 크기에 대한 함수로 구할 수 있으며 세부 정보가 클수록 작은 가중치를 사용하여 그 크기를 많이 줄여 주고 세부 정보가 작을 수록 원래 세부 정보와 비슷하게 만든다. 이 알고리즘을 사용하면 영상의 무늬는 남기면서 명암 대비를 압축시킬 수 있다.