Dai et al., 2017 - Google Patents
Entropy-based bilateral filtering with a new range kernelDai et al., 2017
View PDF- Document ID
- 8583261596211318633
- Author
- Dai T
- Lu W
- Wang W
- Wang J
- Xia S
- Publication year
- Publication venue
- Signal Processing
External Links
Snippet
Bilateral filter (BF) is a well-known edge-preserving image smoothing technique, which has been widely used in image denoising. The major drawback of BF is that its range kernel is sensitive to noise. To address this issue, we propose an entropy-based BF (EBF) with a new …
- 230000002146 bilateral 0 title abstract description 31
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4642—Extraction of features or characteristics of the image by performing operations within image blocks or by using histograms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
- G06T5/003—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
- G06T5/002—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20064—Wavelet transform [DWT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/009—Global, i.e. based on properties of the image as a whole
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/40—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of histogram techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Dai et al. | Entropy-based bilateral filtering with a new range kernel | |
Jain et al. | A survey of edge-preserving image denoising methods | |
Alkinani et al. | Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction | |
Ju et al. | Single image dehazing via an improved atmospheric scattering model | |
CN107527333B (en) | A Fast Image Enhancement Method Based on Gamma Transform | |
Salmon | On two parameters for denoising with non-local means | |
Yu et al. | Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain | |
Pan et al. | Kernel estimation from salient structure for robust motion deblurring | |
CN105335947A (en) | Image de-noising method and image de-noising apparatus | |
US8594456B2 (en) | Image denoising method | |
CN111612741B (en) | Accurate reference-free image quality evaluation method based on distortion recognition | |
CN102819827B (en) | Self-adaption moment matching stripe noise removing method based on gray-level segmentation | |
CN104574293A (en) | Multiscale Retinex image sharpening algorithm based on bounded operation | |
Wong | Adaptive bilateral filtering of image signals using local phase characteristics | |
Mu et al. | Low and non-uniform illumination color image enhancement using weighted guided image filtering | |
Rafsanjani et al. | Efficient diffusion coefficient for image denoising | |
Iwasokun et al. | Image enhancement methods: a review | |
Xie | Illumination preprocessing for face images based on empirical mode decomposition | |
Nnolim | Single image de-hazing using adaptive dynamic stochastic resonance and wavelet-based fusion | |
Karthikeyan et al. | Energy based denoising convolutional neural network for image enhancement | |
CN104616259A (en) | Non-local mean image de-noising method with noise intensity self-adaptation function | |
Lee et al. | Motion deblurring using edge map with blurred/noisy image pairs | |
CN110298806B (en) | Infrared image enhancement method and system | |
Walha et al. | Handling noise in textual image resolution enhancement using online and offline learned dictionaries | |
Hossain et al. | Medical image enhancement based on nonlinear technique and logarithmic transform coefficient histogram matching |