Jeon et al., 2007 - Google Patents
Fuzzy weighted approach to improve visual quality of edge-based filteringJeon et al., 2007
View PDF- Document ID
- 11140380638393487170
- Author
- Jeon G
- Anisetti M
- Bellandi V
- Damiani E
- Jeong J
- Publication year
- Publication venue
- IEEE Transactions on Consumer Electronics
External Links
Snippet
A new algorithm for the deinterlacing of interlaced scanned video sequences is presented in this paper. The ultimate goal of the proposed algorithm is to exactly determine the unknown pixel value while preserving the edges and details of the image. Traditional edge direction …
- 238000001914 filtration 0 title abstract description 9
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards involving analogue television standards or digital television standards processed at pixel level
- H04N7/0117—Conversion of standards involving analogue television standards or digital television standards processed at pixel level involving conversion of the spatial resolution of the incoming video signal
- H04N7/012—Conversion between an interlaced and a progressive signal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards involving analogue television standards or digital television standards processed at pixel level
- H04N7/0135—Conversion of standards involving analogue television standards or digital television standards processed at pixel level involving interpolation processes
- H04N7/0137—Conversion of standards involving analogue television standards or digital television standards processed at pixel level involving interpolation processes dependent on presence/absence of motion, e.g. of motion zones
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/144—Movement detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré, halo, even if the automatic gain control is involved
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
-
- 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
- G06T5/001—Image restoration
- G06T5/002—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/403—Edge-driven scaling
-
- 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
- G06T2207/20004—Adaptive image processing
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7418149B2 (en) | Apparatus and method for adaptive 3D noise reduction | |
US7406208B2 (en) | Edge enhancement process and system | |
US20050129306A1 (en) | Method and apparatus for image deinterlacing using neural networks | |
Jeon et al. | Designing of a type-2 fuzzy logic filter for improving edge-preserving restoration of interlaced-to-progressive conversion | |
Jeon et al. | Locally estimated heterogeneity property and its fuzzy filter application for deinterlacing | |
US7679676B2 (en) | Spatial signal conversion | |
Jeon et al. | Fuzzy weighted approach to improve visual quality of edge-based filtering | |
Jeon et al. | Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing | |
Jeon et al. | Specification of the geometric regularity model for fuzzy if-then rule-based deinterlacing | |
Chen et al. | True motion-compensated de-interlacing algorithm | |
Jeon et al. | Fuzzy rule-based edge-restoration algorithm in HDTV interlaced sequences | |
Jeon et al. | Weighted fuzzy reasoning scheme for interlaced to progressive conversion | |
Wang et al. | Wavelet-content-adaptive BP neural network-based deinterlacing algorithm | |
Brox et al. | Edge-adaptive spatial video de-interlacing algorithms based on fuzzy logic | |
Park et al. | Computation-aware algorithm selection approach for interlaced-to-progressive conversion | |
Brox et al. | A fuzzy edge-dependent motion adaptive algorithm for de-interlacing | |
Huang et al. | Deinterlacing using hierarchical motion analysis | |
Wang et al. | Moving least-squares method for interlaced to progressive scanning format conversion | |
Jeon et al. | Fuzzy rule and Bayesian network based line interpolation for video deinterlacing | |
Park et al. | Covariance-based adaptive deinterlacing method using edge map | |
KR101829742B1 (en) | Deinterlacing apparatus and method based on bilinear filter and fuzzy-based weighted average filter | |
Lee et al. | Deinterlacing with motion adaptive vertical temporal filtering | |
Zhang et al. | Deinterlacing algorithm using gradient‐guided interpolation and weighted average of directional estimation | |
KR101884371B1 (en) | An adaptive filter for image upsampling and filtering method using the same | |
Park et al. | Deinterlacing algorithm using edge direction from analysis of the DCT coefficient distribution |