Image Upscaling and Denoising withGaussian filter inColouredImages-A Performance Analysis

Singh, Amanjot; Singh, Jagroop

doi:10.21817/ijet/2017/v9i3/1709030133

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…Conventional systems include the bilinear and bicubic interpolations which are having good real time computational simplicity. These require very limited arithmetic operations [23][24][25]. Video interpolation or inter frame interpolation can also be achieved by these methods.…”

Section: Interpolation Based Image Up-scalingmentioning

confidence: 99%

“…Then D is more similar to the direction along 45-degree diagonal and therefore pixels along the 45 degree's diagonal are considered to calculate the values with the weighted method as used for horizontal and vertical directional pixel calculations. Equation Then D is more similar to the direction of 135-degree diagonal and therefore, pixels along the 135 degree's diagonal are considered to calculate the values with the weighted method as used for horizontal and vertical direction with (22)(23)(24)(25)(26)(27). 15) is lying between the negative thresholds to a positive threshold, then it is taken as the third case.…”

Section: Diagonal Pixelsmentioning

confidence: 99%

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Content adaptive single image interpolation based super resolution of compressed images

Singh

2020

IJECE

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Image Super resolution is used to upscale the low resolution Images. It is also known as image upscaling .This paper focuses on upscaling of compressed images based on Interpolation techniques. A content adaptive interpolation method of image upscaling has been proposed. This interpolation based scheme is useful for single image based Super-resolution (SR) methods .The presented method works on horizontal, vertical and diagonal directions of an image separately and it is adaptive to the local content of an image. This method relies only on single image and uses the content of the original image only; therefore the proposed method is more practical and realistic. The simulation results have been compared to other standard methods with the help of various performance matrices like PSNR, MSE, MSSIM etc. which indicates the preeminence of the proposed method.

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Section: Interpolation Based Image Up-scalingmentioning

confidence: 99%

Section: Diagonal Pixelsmentioning

confidence: 99%

Content adaptive single image interpolation based super resolution of compressed images

Singh

2020

IJECE

Self Cite

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show abstract

“…In literature there are a number of methods which are based on basic principle that unknown pixel can be estimated based on the neighboring pixels [5,6,21]. Firstly the methods were based on simple interpolation [1,2], afterwards some methods were adaptive in nature [3,[15][16][17][18][19][20].In some cases the methods were made advanced based edge detections [4,21]. The more advancements of these techniques leads to the term Super resolution which also up scaling and improving the quality of images [22].…”

Section: A Related Workmentioning

confidence: 99%

Up-Scaling of the Compressed Images using Adaptive Image Interpolation

Singh¹,

Singh²

2019

IJITEE

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In this paper, a method of image up scaling has been proposed. In many applications the display of electronic devices needs up scaling of images, but some time size of original image is small, so it may require synthetically increasing the size of the image. Interpolation is one of the solutions for that. In the presented method, a new up-scaled image has been achieved, which is upgraded based on the original image pixels present in small images. In the paper, its working is defined for the different directions of the image. The well-known image quality matrices have been considered to evaluate the performance of proposed method. The method has outperformed than the other standard methods and results have been shown in the paper

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Image Upscaling and Denoising withGaussian filter inColouredImages-A Performance Analysis

Abstract: Abstract-

Cited by 2 publications

References 7 publications

Content adaptive single image interpolation based super resolution of compressed images

Content adaptive single image interpolation based super resolution of compressed images

Up-Scaling of the Compressed Images using Adaptive Image Interpolation

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