Superresolution is a class of techniques to enhance the resolution of a (digital) signal.

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Mutation stage of genetic algorithm in Matlab

I'm optimizing an image reconstruction algorithm using genetic algorithm in Matlab.I did crossover on two population and generate two offsprings without using 'ga' toolkit in matlab. So presently I ...
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Convergence of image reconstruction using genetic algorithm in Matlab

I'm implementing an image reconstruction method using genetic algorithm(for optimization).Initially I'm taking 10 population randomly(10 grayscale images in row major order) as follows ...
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optimization of Image Reconstruction Algorithm using Genetic Algorithm in Matlab

I'm trying to optimize an image reconstruction algorithm using genetic algorithm.I took initial population size as 10.I have an input image an 10 reconstructed image.fitness function is the difference ...
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259 views

Image super resolution algorithm in Matlab

I'm trying to implement a simple Image super resolution algorithm (DWT-Based Resolution Enhancement ) in the following paper http://www.ripublication.com/aeee/52_pp%20%20%20405-412.pdf I tried to ...
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What's the underlying algorithm for detail-preserving upsampling in Photoshop CC?

The detail-preserving upsampling algorithm in Photoshop CC is truly amazing. It can upscale any image while preserving details in almost real-time. And I truly wonder how it is implemented. I've ...
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Super-Resolution of depth map without loss of data

I'm applying super resolution algorithms in disparity maps, as they do in Lidarboost 1 and (2). The problem is that when I apply the term of ...
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will always periodogram produce correct frequencies?

let say we have some data,some signal written in this form $x(t)=s(t)+\epsilon(t)$ where $s(t)$ is pure signal and $\epsilon(t)$ is white noise with mean zero and some variance ,question is ...
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224 views

use wavelet for improving spectral resolution

let us consider following code ...
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278 views

ARMA models for non stationary signals

let us suppose that we have non stationary signal,whose value is given by ...
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Motion and Distortion Estimation using multiple still images?

TL/DR: I'd like to take the median of lots of images to make a single "better" image. The problem is, the camera is slowly moving, and there is significant lens distortion. On the plus side the ...
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Artifacts in image after super resolution using delaunay triangulation in MATLAB

i have to do super resolution of two low resolution images to obtain a high resolution image. 1st image is taken as base image and the second image is registered with respect to it . i used SURF ...
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Why super resolution(SR) is possible

I've been reading about Super Resolution Image reconstruction (Reconstruction of high resolution image from multiple low resolution aliased images contain sub pixel shifts), and i want to know why SR ...
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Explanation of LidarBoost Algorithm?

I am trying to understand the LidarBoost algorithm as explained in this paper (PDF warning). I don't understand how they take the original depth-images $Y_k$ and transform them into the up-sampled ...
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Possibility of temporal super resolution

I've been reading some papers in the context of super resolution in imaging and video (for example works by Michal Irani [1], [2] and so forth), and was wondering if a similar idea can be applied with ...
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Increasing image resolution

I know of some oscilloscopes (DSA8300) that repeatedly sample at a few hundred kS/s to reconstruct a few GHz signal. I was wondering if this could be extended to 2D signals (photographs). Can I take a ...
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What is Super-Resolution, in the context of windowing?

I have been trying to understand what super-resolution is, in the context of DSP/DIP. What criteria is being maximized/minimized, and why? Most of my online searches yield super-res techniques from ...