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image of Volume 13, Issue 10
Online ISSN 1751-9667 Print ISSN 1751-9659

IET Image Processing

Volume 13, Issue 10, 22 August 2019


Volume 13, Issue 10

22 August 2019

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    • Review of underwater image restoration algorithms
    • Levellings based on spatially adaptive scale spaces using local image features
      Stereoscopic image quality assessment by analysing visual hierarchical structures and binocular effects
      Salient object detection via reciprocal function filter
      Band selection of hyperspectral image by sparse manifold clustering
      Deep-network based method for joint image deblocking and super-resolution
      Robust part-based visual tracking via adaptive collaborative modelling
      Modified clipping based image enhancement scheme using difference of histogram bins
      Fast HSI super resolution using linear regression
      Three-dimensional fusion of clustered and classified features for enhancement of liver and lesions from abdominal radiology images
      Edge detection of retinal OCT image based on complex shearlet transform
      Region-division-based joint sparse representation classification for hyperspectral images
      Prediction error expansion-based reversible data hiding in encrypted images with public key cryptosystem
      Adaptive multilayer level set method for segmenting images with intensity inhomogeneity
      Automatic and optimal segmentation of the left ventricle in cardiac magnetic resonance images independent of the training sets
      Efficient medical image enhancement based on CNN-FBB model
      Lung segmentation based on random forest and multi-scale edge detection
      Local difference-based active contour model for medical image segmentation and bias correction
      Efficient clustering approach for adaptive unsupervised colour image segmentation
      FD-based detector for medical image watermarking
      Generative adversarial networks model for visible watermark removal
      Combined training strategy for low-resolution face recognition with limited application-specific data
      Single image rain removal model using pure rain dictionary learning
      Lightweight cascade framework for optic disc segmentation

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