Multi-Scale Gradient Image Super-Resolution for Preserving SIFT Key Points in Low-Resolution Images

Noor, Dewan Fahim; Li, Yue; Zhu, Li; Bhattacharyya, Shuvra S.; York, George

doi:10.1016/j.image.2019.06.013

Cited by 12 publications

(3 citation statements)

References 25 publications

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“…The traditional Sobel operator binarization method uses horizontal and vertical directions for gradient operation [28][29][30]. As shown in Figure 11, due to the diverse angle of the X-ray image, the Sobel operator using only two directions tends to lose part of the gradient information of the image.…”

Section: Es-mbd Binarization Methods 41 Optimization Of Sobel Operato...mentioning

confidence: 99%

Research on Luggage Package Extraction of X-ray Images Based on Edge Sensitive Multi-Channel Background Difference Algorithm

Song,

Zhang,

Yang

et al. 2023

Applied Sciences

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Many security detectors do not have the ability to output individual luggage package images and are not compatible with deep learning algorithms. In this paper, a luggage package extraction of X-ray images based on the ES-MBD (Edge Sensitive Multi-channel Background Difference Algorithm) method is proposed, which is aiming at the problem that background difference binarization is insensitive to texture features and edge detection binarization is insensitive to smooth areas. In this method, X-ray luggage package images from complex original video images are used as a key target, the RGB three-channel background difference is calculated from the original X-ray image, the edge detection of the grayscale map is performed using the Sobel operator optimized by local gradient enhancement, and the morphological expansion process is performed on the combined results to obtain the complete wrapping target. The Suzuki algorithm is used to detect the outline of the binarized package image, match the package frame area and determine the key target. The ES-MBD method solves the problem of information loss in the traditional binarization method, and retains the information of insensitive regions while reducing noise. Through experimental comparison, the accuracy of ES-MBD binarization method reaches 97.3%, the recall rate reaches 96.5%, and ES-MBD method has obvious advantages in key target extraction of X-ray images.

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Section: Es-mbd Binarization Methods 41 Optimization Of Sobel Operato...mentioning

confidence: 99%

Research on Luggage Package Extraction of X-ray Images Based on Edge Sensitive Multi-Channel Background Difference Algorithm

Song,

Zhang,

Yang

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The manipulation of the weights of Gaussian distributions in an aggregative manner results in complex calculations requiring additional memory and time. Noor et al (2019) [12] propose a technique that generates DoG images from two distinct input scenarios and subtracts them to obtain residual value, which is then used to train a deep learning network to produce high-resolution images that preserve SIFT repeatability. Finding the suitable sigma values in Gaussian filter is problematic, making the procedure difficult.…”

Section: Related Workmentioning

confidence: 99%

Interpolation of Low-Resolution Images for Improved Accuracy Using an ANN Quadratic Interpolator

Vijay

Sumathi

2023

IJRITCC

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The era of digital imaging has transitioned into a new one. Conversion to real-time, high-resolution images is considered vital. Interpolation is employed in order to increase the number of pixels per image, thereby enhancing spatial resolution. Interpolation's real advantage is that it can be deployed on user end devices. Despite raising the number of pixels per inch to enhances the spatial resolution, it may not improve the image's clarity, hence diminishing its quality. This strategy is designed to increase image quality by enhancing image sharpness and spatial resolution simultaneously. Proposed is an Artificial Neural Network (ANN) Quadratic Interpolator for interpolating 3-D images. This method applies Lagrange interpolating polynomial and Lagrange interpolating basis function to the parameter space using a deep neural network. The degree of the polynomial is determined by the frequency of gradient orientation events within the region of interest. By manipulating interpolation coefficients, images can be upscaled and enhanced. By mapping between low- and high-resolution images, the ANN quadratic interpolator optimizes the loss function. ANN Quadratic interpolator does a good work of reducing the amount of image artefacts that occur during the process of interpolation. The weights of the proposed ANN Quadratic interpolator are seeded by transfer learning, and the layers are trained, validated, and evaluated using a standard dataset. The proposed method outperforms a variety of cutting-edge picture interpolation algorithms..

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“…Still, such operators are prone to generate feature point mismatching problems in splicing [20][21][22]. SIFT has the characteristics of rotation invariance, scale invariance, high accuracy of feature point recognition, and is a widely used automatic image mosaic technology [23][24][25][26]. During the paving of asphalt pavement, the temperature of the pavement will decrease with time when the ambient temperature is low.…”

Section: Introductionmentioning

confidence: 99%

Panoramic UAV Image Mosaic Method and Its Application in Pavement Paving Temperature Monitoring

Sun

Zhang

2023

Coatings

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The low-altitude technology of unmanned airborne infrared detection system is used to effectively monitor the temperature segregation in the paving stage and realize the temperature uniformity control of asphalt pavement construction. The image mosaic method can splice two images with overlapping areas together to form a panoramic image. In order to solve the problems of long time-consuming and low accuracy of aerial image mosaic algorithm, the low-temperature area of the whole pavement can be obtained quickly and accurately. In this paper, threshold segmentation technology is introduced to convert the image captured by the unmanned aerial vehicle (UAV) into a binary greyscale image so as to compensate for the mosaic error caused by temperature difference. In order to improve the efficiency and accuracy of splicing, a reference plate is used, which can provide enough feature points for splicing. Finally, the image mosaic method proposed in this paper can quickly obtain the image of the whole low-temperature area of the newly paved asphalt pavement, which has practical value and positive significance for the quality control of asphalt pavement.

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Multi-Scale Gradient Image Super-Resolution for Preserving SIFT Key Points in Low-Resolution Images

Cited by 12 publications

References 25 publications

Research on Luggage Package Extraction of X-ray Images Based on Edge Sensitive Multi-Channel Background Difference Algorithm

Research on Luggage Package Extraction of X-ray Images Based on Edge Sensitive Multi-Channel Background Difference Algorithm

Interpolation of Low-Resolution Images for Improved Accuracy Using an ANN Quadratic Interpolator

Panoramic UAV Image Mosaic Method and Its Application in Pavement Paving Temperature Monitoring

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