• No results found

resolution image

ABSTRACT: Hallucination is the process of enhancing a low resolution image. It is generally accepted that most of

ABSTRACT: Hallucination is the process of enhancing a low resolution image. It is generally accepted that most of

... Gabor filter is introduced at this section for feature extraction for both the input low resolution image and the trained low resolution image. Features like shapes of the patches and colours ...

8

A Survey on Super Resolution Image Enhancement using Structural Similarity Index Technique

A Survey on Super Resolution Image Enhancement using Structural Similarity Index Technique

... Resolution:Super resolution is the technique of generating a high resolution image from low resolution ...High resolution image offers a high pixel solidity and thereby more ...

6

High resolution image reconstruction for portable ultrasound imaging devices

High resolution image reconstruction for portable ultrasound imaging devices

... high-resolution image from a sequence of ultrasound images acquired with random ...higher resolution images with reduced speckle ...high-quality image, image recon- struction–based ...

12

Kernel Hebbian algorithm for single frame super resolution

Kernel Hebbian algorithm for single frame super resolution

... 528)-size image not contained in the training set was used for ...low-resolution image was obtained by blurring and sub- ...input image and the KHA reconstruction only adds the missing ...

15

Survey On Multi-Frame Image Super-Resolution

Survey On Multi-Frame Image Super-Resolution

... Multi-frame image Super- Resolution. Single-frame Super-Resolution methods to generate single high-resolution image from single degraded or noisy or blurred ...(HR) image from ...

5

Super Resolution Based Image Inpainting

Super Resolution Based Image Inpainting

... the image to be ...(Low Resolution - High Resolution) pairs of patches learnt from a set of un-related training images in an external database or from the input low resolution image ...

6

Blind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise

Blind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise

... spatial resolution of low resolution image with Gaussian blur and Pepper & salt noise, a blind single-image super resolution reconstruction method is ...low resolution ...

7

Evaluation of the effect of the specimen image resolution on 
		Non Uniform 
		displacement accuracy of 2D digital image correlation

Evaluation of the effect of the specimen image resolution on Non Uniform displacement accuracy of 2D digital image correlation

... that image resolution affects the relative error of the displacement measurement by using DIC ...higher image resolution will reduce relative error ...Low resolution image can be ...

6

A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

... Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for ...

16

Resolution Magnification Technique for Satellite Images Using DT- CWT and NLM

Resolution Magnification Technique for Satellite Images Using DT- CWT and NLM

... Satellite image(input) is decomposed by DT-CWT (which is nearly shift invariant) to obtain high-frequency(HF) ...low- resolution (LR) input image are interpolated using the Lanczos ...input ...

5

Image Enhancement Using Wavelet Decomposition, Super Resolution Algorithm & LUM Filters

Image Enhancement Using Wavelet Decomposition, Super Resolution Algorithm & LUM Filters

... low resolution image is obtained by lowpass filtering of the high resolution image ...low resolution of the original ...high resolution image, we are using the input ...

5

Single-Frame Image Super-resolution through Contourlet Learning

Single-Frame Image Super-resolution through Contourlet Learning

... high-resolution image are learned locally from a set of high-resolution training images, the inverse contourlet transform of which recovers the super-resolved ...

5

FUSION OF SCALE INVARIANT FEATURES TRANSFORM AND WAVELET TRANSFORM TECHNIQUES FOR OBJECT DETECTION

FUSION OF SCALE INVARIANT FEATURES TRANSFORM AND WAVELET TRANSFORM TECHNIQUES FOR OBJECT DETECTION

... an image is very fundamental and important task to digital image ...an image to low and high resolution is the basic idea of ...low resolution image and SIFT is applied to high ...

12

A Novel Image Super-Resolution

A Novel Image Super-Resolution

... Higher resolution offers an improvement of the graphic information for human ...later image processing, computer vision etc. Image resolution is closely related to the details included in any ...

7

Hybrid Super Resolution using SWT and CT

Hybrid Super Resolution using SWT and CT

... super resolution algorithm uses SWT sub bands for image registration and a curvelet transform based interpolation to form a single high resolution ...low resolution images are formed from the ...

6

Brain Tumor MRI Using Gradient Profile Sharpness

Brain Tumor MRI Using Gradient Profile Sharpness

... in image processing is medical image ...MR image segmentation for detection of tumor ...low resolution images, detection correct location of tumor is ...low resolution image into ...

6

A Survey on Various Single Image Super Resolution Techniques

A Survey on Various Single Image Super Resolution Techniques

... Super- resolution is the process of recovering a high-resolution (HR) image from single image or multiple low-resolution (LR) images of the same scene ...super resolution (SR) is ...

5

Resolution Enhancement of images with
Interpolation and DWT-SWT Wavelet Domain
Components

Resolution Enhancement of images with Interpolation and DWT-SWT Wavelet Domain Components

... samples. Image processing applications of interpolation include image magnification or reduction, subpixel image registration, to correct spatial distortions, and image decompression, as well ...

7

An Empirical Investigation on Thematic Accuracy
          of Landuse/Landcover Classification Using Fused
          Images

An Empirical Investigation on Thematic Accuracy of Landuse/Landcover Classification Using Fused Images

... Image fusion is performed at three different processing levels according to the stage at which the fusion takes place Pixel, Feature and Decision level. It is clear that the most effective solution for providing ...

7

Super Resolution with Multiselective Contourlets

Super Resolution with Multiselective Contourlets

... later image proc- essing and analysis. The desire for high resolution stems from two principal application areas: improvement of pictorial information for human interpretation; and help- ing representation ...

10

Show all 10000 documents...

Related subjects