Super Resolution Image Reconstruction using Wavelet Lifting Schemes and Gabor filters

Dogiwal, Sanwta Ram; Shishodia, Y. S.; Upadhyaya, Abhay

doi:10.1109/confluence.2014.6949252

Cited by 5 publications

(3 citation statements)

References 5 publications

(1 reference statement)

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“…The lifting scheme or simply lifting is a simple but quite powerful tool to extract some special features of the signal under analysis [8]. As a popular lifting scheme, the max-lifting scheme can preserve local maximum values of the signal being processed with high calculation speed [9].…”

Section: Ntroductionmentioning

confidence: 99%

Power disturbance identification based on transient behaviors using morphological max-lifting scheme and nonlinear principal component analysis

Zhang

2015

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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When a power system is contaminated by power quality problems, a short transition will appear before power system restoring to a new stability state. The short transitions of various power disturbances correspond to different principal component characteristics. According to these characteristics, in this paper, a scheme based on transient behaviors using morphological max-lifting scheme (MMLS) and nonlinear principal component analysis (NLPCA) is developed for the identification of power disturbances. PSCAD/EMTDC is applied to simulate six types of power disturbances, and massive simulation work has been conducted to demonstrate the effectiveness and feasibility of the proposed scheme.Index Terms--Morphological max-lifting scheme; nonlinear principal component analysis; power disturbance; transient behavior; identification.

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Section: Ntroductionmentioning

confidence: 99%

Power disturbance identification based on transient behaviors using morphological max-lifting scheme and nonlinear principal component analysis

Zhang

2015

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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“…1 is an example of Gabor filter response to a face image, which shows that they find the textures that correspond to the given θ very well. Hence the Gabor filter responses have been used in the applications where the (orientational) textures play an important role such as fingerprint recognition [6], face detection [10], facial expression recognition [14], age/gender estimation [7], text segmentation [26], super resolution [24], and texture description. Age/Gender Estimation.…”

Section: Related Workmentioning

confidence: 99%

Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks

Hosseini,

Lee,

Cho

2018

Preprint

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Since the convolutional neural network (CNN) is believed to find right features for a given problem, the study of hand-crafted features is somewhat neglected these days. In this paper, we show that finding an appropriate feature for the given problem may be still important as they can enhance the performance of CNN-based algorithms. Specifically, we show that feeding an appropriate feature to the CNN enhances its performance in some face related works such as age/gender estimation, face detection and emotion recognition. We use Gabor filter bank responses for these tasks, feeding them to the CNN along with the input image. The stack of image and Gabor responses can be fed to the CNN as a tensor input, or as a fused image which is a weighted sum of image and Gabor responses. The Gabor filter parameters can also be tuned depending on the given problem, for increasing the performance. From the extensive experiments, it is shown that the proposed methods provide better performance than the conventional CNN-based methods that use only the input images.

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“…Super resolution, the process of obtaining one or more high resolution images from one or more low resolution observations, has been a very attractive research topic over the last two decades (Nasrollahi K et al, 2014;Dogiwal S R et al, 2014;Chen X J et al, 2013). In recent years, it has become one of the most active research directions in the image processing and computer vision.…”

Section: Introductionmentioning

confidence: 99%

Super Resolution Reconstruction Based on Adaptive Detail Enhancement for Zy-3 Satellite Images

Zhu¹,

Song²,

Tan³

et al. 2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Super-resolution reconstruction of sequence remote sensing image is a technology which handles multiple low-resolution satellite remote sensing images with complementary information and obtains one or more high resolution images. The cores of the technology are high precision matching between images and high detail information extraction and fusion. In this paper puts forward a new image super resolution model frame which can adaptive multi-scale enhance the details of reconstructed image. First, the sequence images were decomposed into a detail layer containing the detail information and a smooth layer containing the large scale edge information by bilateral filter. Then, a texture detail enhancement function was constructed to promote the magnitude of the medium and small details. Next, the non-redundant information of the super reconstruction was obtained by differential processing of the detail layer, and the initial super resolution construction result was achieved by interpolating fusion of non-redundant information and the smooth layer. At last, the final reconstruction image was acquired by executing a local optimization model on the initial constructed image. Experiments on ZY-3 satellite images of same phase and different phase show that the proposed method can both improve the information entropy and the image details evaluation standard comparing with the interpolation method, traditional TV algorithm and MAP algorithm, which indicate that our method can obviously highlight image details and contains more ground texture information. A large number of experiment results reveal that the proposed method is robust and universal for different kinds of ZY-3 satellite images.

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Super Resolution Image Reconstruction using Wavelet Lifting Schemes and Gabor filters

Cited by 5 publications

References 5 publications

Power disturbance identification based on transient behaviors using morphological max-lifting scheme and nonlinear principal component analysis

Power disturbance identification based on transient behaviors using morphological max-lifting scheme and nonlinear principal component analysis

Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks

Super Resolution Reconstruction Based on Adaptive Detail Enhancement for Zy-3 Satellite Images

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