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Found 11 papers, 0 papers with code
Centroid adapted frequency selective extrapolation for reconstruction of lost image areas
To enlarge the test set for evaluation we further propose a method to generate arbitrarily shaped lost areas.
Motion-Adapted Three-Dimensional Frequency Selective Extrapolation
This proposed extension solves the problem of changing content within the area considered by the 3D-FSE, which is caused by motion within the sequence.
Resampling Images to a Regular Grid from a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
Even though image signals are typically defined on a regular two-dimensional grid, there also exist many scenarios where this is not the case and the amplitude of the image signal only is available for a non-regular subset of pixel positions.
Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation
In this paper, we propose a novel image sensor layout which allows for the acquisition of images at a higher resolution and improved quality.
Declipping of Speech Signals Using Frequency Selective Extrapolation
The reconstruction of clipped speech signals is an important task in audio signal processing to achieve an enhanced audio quality for further processing.
Reconstruction of images taken by a pair of non-regular sampling sensors using correlation based matching
Recently, it has been shown that by covering a low resolution sensor with a non-regular sampling mask and by using an efficient algorithm for image reconstruction, a high resolution image can be obtained.
Reducing Randomness of Non-Regular Sampling Masks for Image Reconstruction
Recently, it has been shown that it is possible to obtain a high resolution image by covering a low resolution sensor with a non-regular sampling mask.
Reconstruction of Videos Taken by a Non-Regular Sampling Sensor
Recently, it has been shown that a high resolution image can be obtained without the usage of a high resolution sensor.
Recursive Frequency Selective Reconstruction of Non-Regularly Sampled Video Data
In this paper, a new recursive multi-frame reconstruction approach is proposed in order to further increase the reconstruction quality.
Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction
The main benefit of the proposed dynamic readout is that for each frame, different sampling points are available which is advantageous since this information can significantly enhance the reconstruction quality of the proposed reconstruction algorithm.
Texture-Dependent Frequency Selective Reconstruction of Non-Regularly Sampled Images
Hence, a new texture-dependent approach for frequency selective reconstruction is introduced that distributes the number of iterations depending on the texture of the regions to be reconstructed.
