Detail enhancement of image super-resolution based on detail synthesis

Xiao, Jinsheng; Liu, Enyu; Zhao, Ling; Wang, Yuan-Fang; Jiang, Wenbin

doi:10.1016/j.image.2016.11.001

Cited by 14 publications

(3 citation statements)

References 29 publications

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“…This filter is evaluated using parameters like PSNR and SSIM. Xiao et al [22] combined local selfsimilarity search and singular value decomposition of patches to enhance the details of the resultant image. Yoo et al [23] generated high resolution image from low resolution images.…”

Section: Banksmentioning

confidence: 99%

Image Resolution Enhancement of Satellite Images Using Dyadic Integer Coefficient Wavelet Filter for Wavelet Transform

Chopade¹

2021

ITII

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In this paper, image resolution enhancements for satellite images are proposed using dyadic integer coefficients based wavelet filter (DICWF). We proposes a technique in which discrete wavelet transform and stationary wavelet transform using DICWF which is used to obtain a high resolution image and this image is derived from frequency subbands. The satellite images play a very vital role now days in the development of technical aspects which needs to be enhanced. These satellite images are superresolved with the help of dyadic integer coefficient-based wavelet filters, which reduces the hardware complexity and computational difficulties due to the rational and integer coefficients of these filter banks. The value of the peak signal-to-noise ratio (PSNR) of the proposed method and the resultant visual images of the proposed method show the effectiveness of this algorithm over other existing algorithms using discrete wavelet transform. Noise can be minimized by applying thresholding on different frequency subbands which obtained by the application of DICWF to the noisy, blurred input images.

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Section: Banksmentioning

confidence: 99%

Image Resolution Enhancement of Satellite Images Using Dyadic Integer Coefficient Wavelet Filter for Wavelet Transform

Chopade¹

2021

ITII

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“…In the "Diary's" the urban sketches are presented through a synthesis of words and a visual image, which is a verbal imitation of a pictorial technique, according to which the description of cities is subordinated to the pictorial principle of text organization. The verbal landscape of Nice, Rome, Florence, St. Petersburg, Paris includes colour, chiaroscuro, light panoramic perspective, multidimensional composition (Xiao et al, 2017;Meekums & Daniel, 2011).…”

Section: The Concept Of Naturalism In Art and The History Of Its Origin And Establishmentmentioning

confidence: 99%

Naturalistic inquiries of M. Bashkirtseva as an artist

et al. 2021

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The study pioneers the naturalistic search of Bashkirtseva as an artist, which was expressed in her involvement in the creation of a new movement in art, including painting, defined as naturalism. Several aesthetically significant and self-sufficient stages of its development in the creative activity of Maria Bashkirtseva are presented. It is noted that in this process the noblewoman's high education at home with her interest in the interaction of literature and painting, which in due course was understood as aesthetically valuable for painting and the artist, was initially obtained. The importance of the next naturalistic stage of Bashkirtseva is underlined, which is conditioned by her rapid acquisition of the European urban culture, one of the specific features of naturalism, first of all, the French one with the priority of Parisian peculiarities. In this way, it is emphasized that Bashkirtseva was not only focused on the development of critical and pictorial-literary trends in naturalism but also involved in their creation, developing the synthesis of literature and painting. It is emphasized that Bashkirtseva in the mastery of Dostoevsky largely anticipated the concept of Bakhtin, “following” the images of the Russian classic, giving them their naturalistic meaning.

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“…In order to evaluate the effect for different order of fractional calculus in image processing, the objective evaluation index of information entropy and clarity (Xiao et al 2017) was selected. The image "koala" is processed by fractional operators with different orders.…”

Section: Fractional Differential For Image Enhancement Analysismentioning

confidence: 99%

Super-resolution enhancement of UAV images based on fractional calculus and POCS

Lei

Zhang

Luo

et al. 2018

Geo-spatial Information Science

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b the third research institute of ministry of public security, shanghai, china ABSTRACT A super-resolution enhancement algorithm was proposed based on the combination of fractional calculus and Projection onto Convex Sets (POCS) for unmanned aerial vehicles (UAVs) images. The representative problems of UAV images including motion blur, fisheye effect distortion, overexposed, and so on can be improved by the proposed algorithm. The fractional calculus operator is used to enhance the high-resolution and low-resolution reference frames for POCS. The affine transformation parameters between low-resolution images and reference frame are calculated by Scale Invariant Feature Transform (SIFT) for matching. The point spread function of POCS is simulated by a fractional integral filter instead of Gaussian filter for more clarity of texture and detail. The objective indices and subjective effect are compared between the proposed and other methods. The experimental results indicate that the proposed method outperforms other algorithms in most cases, especially in the structure and detail clarity of the reconstructed images.

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Detail enhancement of image super-resolution based on detail synthesis

Cited by 14 publications

References 29 publications

Image Resolution Enhancement of Satellite Images Using Dyadic Integer Coefficient Wavelet Filter for Wavelet Transform

Image Resolution Enhancement of Satellite Images Using Dyadic Integer Coefficient Wavelet Filter for Wavelet Transform

Naturalistic inquiries of M. Bashkirtseva as an artist

Super-resolution enhancement of UAV images based on fractional calculus and POCS

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