Modern digital cameras generally count on image signal processing.(ISP) pipelines for producing naturalistic RGB images. Nevertheless, in comparison to DSLR cameras, low-quality images are generally output from portab...
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ISBN:
(数字)9781665487399
ISBN:
(纸本)9781665487399
Modern digital cameras generally count on image signal processing.(ISP) pipelines for producing naturalistic RGB images. Nevertheless, in comparison to DSLR cameras, low-quality images are generally output from portable mobile devices due to their physical limitations. The synthesized low-quality images usually have multiple degradations - low-resolution owing to small camera sensors, mosaic patterns on account of camera filter array and subpixel shifts due to camera motion. Such degradation usually restrain the performance of single image super-resolution methodologies for retrieving high-resolution (HR) image from a single low-resolution (LR) image. Burst image super-resolution aims at restoring a photo-realistic HR image by capturing the abundant information from multiple LR images. Lately, the soaring popularity of burst photography has made multi-frame processing.an attractive solution for overcoming the limitations of single imageprocessing. In our work, we thus aim to propose a generic architecture, adaptive feature consolidation network (AFCNet) for multi-frame processing. To alleviate the challenge of effectively modelling the long-range dependency problem, that multi-frame approaches struggle to solve, we utilize encoder-decoder based transformer backbone which learns multi-scale local-global representations. We propose feature alignment module to align LR burst frame features. Further, the aligned features are fused and reconstructed by abridged pseudo-burst fusion module and adaptive group upsampling modules, respectively. Our proposed approach clearly outperforms the other existing state-of-the-art techniques on benchmark datasets. The experimental results illustrate the effectiveness and generality of our proposed framework in upgrading the visual quality of HR images.
This paper presents an implicit similarity-based approach to registration of significantly dissimilar images, acquired by sensors of different modalities. The proposed algorithm introduces a robust matching criterion ...
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This paper presents an implicit similarity-based approach to registration of significantly dissimilar images, acquired by sensors of different modalities. The proposed algorithm introduces a robust matching criterion by aligning the locations of gradient maxima. The alignment is formulated as a parametric variational optimization problem which is solved iteratively by considering the intensities of a single image. The locations of the maxima of the second image's gradient are used as initialization., We were able to robustly estimate affine and projective global motions using 'coarse to fine' processing. even when the images are characterized by complex space varying intensity transformations. Finally, we present the registration of real images, which were taken by multi-sensor and multi-modality using affine and projective motion models.
P. J. Burt (1981) proposed, on the basis of his experiments, the HDC (hierarchical discrete correlation) method for realizing a Gaussian filter. The authors present a theoretical analysis of HDC, answer some questions...
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ISBN:
(纸本)0818606339
P. J. Burt (1981) proposed, on the basis of his experiments, the HDC (hierarchical discrete correlation) method for realizing a Gaussian filter. The authors present a theoretical analysis of HDC, answer some questions posed by Burt's experiments, and indicate the rules for the design of HDC filters.
An algorithm for finding the medial axis of an object in a 2-D binary picture has been developed. A set of real-valued boundary points for the object is extracted and smoothed using a linear combination of points in t...
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An algorithm for finding the medial axis of an object in a 2-D binary picture has been developed. A set of real-valued boundary points for the object is extracted and smoothed using a linear combination of points in the immediate neighborhood. A more detailed set of points is then defined by interpolation using a parabolic blending technique. To obtain the medial axis, circles are fitted for each point in the detailed set of points. Ech circle must be tangent to the point, be totally enclosed by the object and be of maximum size. The centers of these circles lie on the medial axis. The technique is especially suited to noisy data or coarsely sampled shapes.
Sequences of pictures of growing colonies of animal cells or microorganisms contain information useful to biologists. Special lighting increases the information contained in the pictures and decreases the difficulty o...
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Sequences of pictures of growing colonies of animal cells or microorganisms contain information useful to biologists. Special lighting increases the information contained in the pictures and decreases the difficulty of the image analysis. A high resolution flying spot scanner digitizes images of petri dishes recorded on film. Nonlinear edge region detectors and a region growing algorithm find the outlines of the colonies. Outlines which pass tests for validity are analyzed to extract further information. Data files of parameters are created which are analyzed by programs written by biologists. Statistical and other techniques were used to classify species and locate mutant colonies.
Because of the increasing demand for cytogenetic analysis, machine assisted karyotyping of human chromosomes is almost a necessity. One of the most important phases in chromosome analysis and other related histo- or c...
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Because of the increasing demand for cytogenetic analysis, machine assisted karyotyping of human chromosomes is almost a necessity. One of the most important phases in chromosome analysis and other related histo- or cytochemistry work is the scanning of microscopic slides to detect suitable metaphases or cells. In this paper such a system is described based on the use of microprocessors, a digitally controlled microscope, and video hardware for autofocus, thresholding and feature extraction. A hierarchically structured search procedure has excellent results at a scanning speed of 0. 5 cm**2/min.
A new type of two-dimensional formal grammars known as 'Multilevel Array Grammars' (MLAG) is introduced. This is based on the extention of concepts used in Array Grammars as defined by Milgram and Rosenfeld. I...
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A new type of two-dimensional formal grammars known as 'Multilevel Array Grammars' (MLAG) is introduced. This is based on the extention of concepts used in Array Grammars as defined by Milgram and Rosenfeld. In these grammars, the 'terminal symbols' of a grammar defined at a higher level ( greater than 0) are themselves patterns of a specified shape, which, in turn, are derived from the grammars defined at lower level. These 'terminal symbols' can be viewed as 'floor tiles' which are laid according to the rewriting rules in generating a two-dimensional texture scene. These grammars are shown to be adequate to generate texture scenes that can be viewed at many levels, such as ″brick wall type″ textures.
Two means for numerically evaluating edge detectors, relative and absolute grading, were developed. Relative grading involves comparing an edge operator's output to the concensus decision of other operators. Absol...
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Two means for numerically evaluating edge detectors, relative and absolute grading, were developed. Relative grading involves comparing an edge operator's output to the concensus decision of other operators. Absolute grading compares any operator to a manually constructed key or target scene. A test of the ability of these techniques to eliminate operator and thresholding noise, improve threshold levels, system parameters and to guide operator improvement was carried out on six operators: Sobel, Robert's gradient, Roberts' square root gradient, gradient, range and Frei-Chen.
A new distance measure is introduced for comparing polygonal curves which may be geometrically distorted relative to one another. The measure includes both directional and positional differences between segments and i...
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A new distance measure is introduced for comparing polygonal curves which may be geometrically distorted relative to one another. The measure includes both directional and positional differences between segments and is relatively insensitive to segmentation irregularity. Segment pairing is implemented with a conventional dynamic programming technique. Polygonal approximation allows great search reduction over pixel-based matching, thus making the technique practical for use on small computers. In addition, the measure is compatible with standard pruning techniques for even greater increases in speed. Some preliminary results in regard to handprinted character matching are shown.
The shape of a two-dimensional contour can be conveniently transformed into an amplitude-vs-distance signal by allowing a line segment of specified length to trace out the contour and recording the angular variation o...
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The shape of a two-dimensional contour can be conveniently transformed into an amplitude-vs-distance signal by allowing a line segment of specified length to trace out the contour and recording the angular variation of the line segment as a function of distance along the contour. The line segment, which connects two points on the contour, may be of strictly fixed length or may span a fixed number of links in a chain-coded representation of the contour. The contour may be closed or open. The record of angular variation (i. e. , the incremental curvature) is independent of the orientation of the contour and can also be made independent of scale.
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