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Seungjoon Yang

Ulsan National Institute of Science and Technology · Computer Science

About the Lab

Professor Seungjoon Yang's research lab specializes in image and video processing, with a focus on enhancing visual quality in compressed and degraded images. Key research directions include artifact removal in compressed video (e.g., ringing artifacts in JPEG2000), contrast enhancement techniques with controllable dynamic range, and advanced interpolation methods for image size conversion. The lab emphasizes robust, computationally efficient algorithms grounded in statistical modeling and optimization, often leveraging techniques like k-means clustering and bilateral filtering.

image enhancementringing artifact removalcompressed video qualitybilateral filteringcontrast enhancement

Research Overview

Papers
79
Total Citations
916
Papers (5y)
11
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
11total
2020
2022
2023
2025
2026
Citations per year (5y)
33total
20202022202320252026

Selected Papers

15
1
Article|80 citations·2004
Contrast enhancement using histogram equalization with bin underflow and bin overflow
Seungjoon Yang, Jae Hwan Oh, Y.J Park

The histogram equalization (HE) is a widely used contrast enhancement method. But what is missing from the HE is a mechanism to control the rate of enhancement. The enhanced image always follows the uniform distribution. This paper presents a simple enhancement rate control mechanism for the HE. The gradient of the mapping function is controlled by putting constraints on the probability density function with the bin underflow (BU) and bin overflow (BO). The BUBO operation can provide the rate of

Artificial IntelligenceComputer Science
2
Article|71 citations·2016
Deep belief network based statistical feature learning for fingerprint liveness detection
Soowoong Kim, Bogun Park, Bong Seop Song, Seungjoon Yang
SJR Q1Pattern Recognition Letters
Signal ProcessingComputer Science
3
Article|61 citations·2001
Maximum-likelihood parameter estimation for image ringing-artifact removal
Seungjoon Yang, Yu Hen Hu, Thanh-Trung Nguyen, D.L. Tull
SJR Q1IEEE Transactions on Circuits and Systems for Video Technology

At low bit rates, image compression codecs based on overlapping transforms introduce spurious oscillations known as ringing artifacts in the vicinity of major edges. Unlike previous works, we present a maximum-likelihood approach to the ringing-artifact removal problem. Our approach employs a parameter estimation method based on the k-means algorithm with the number of clusters determined by a cluster-separation measure. The proposed algorithm and its simplified approximation are applied to JPEG

Computer Vision and Pattern RecognitionComputer Science
4
Article|49 citations·2004
Motion Compensation Assisted Motion Adaptive Interlaced-to-Progressive Conversion
Seungjoon Yang, Young‐soon Jung, Young Ho Lee, Rae‐Hong Park
SJR Q1IEEE Transactions on Circuits and Systems for Video Technology

Block-wise processing of motion compensated interlaced-to-progressive conversion (MC-IPC) can cause spurious errors that degrade converted image quality significantly. This paper presents a novel IPC method based on motion adaptive IPC (MA-IPC) with its adaptation assisted by the motion compensation. The motion adaptation is performed with respect to a motion selected from a limited set based on the accuracy evaluated with a reduced and overlapped block. The use of the reduced and overlapped blo

Computer Vision and Pattern RecognitionComputer Science
5
Article|15 citations·2011
Reduced reference MPEG-2 picture quality measure based on ratio of DCT coefficients
Seungjoon Yang
SJR Q3Electronics Letters

A reduced reference picture quality measure is proposed for MPEG-2 compressed videos. The measure can be calculated from the ratio of three N tap one-dimensional discrete cosine transform (DCT) coefficients. The proposed measures are highly correlated to subjective test scores and can provide accurate assessment of picture quality for a certain type of sequences.

Computer Vision and Pattern RecognitionComputer Science
6
Article|14 citations·2020
Deep neural networks with a set of node-wise varying activation functions
Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang
SJR Q1Neural NetworksOA
Artificial IntelligenceComputer Science
7
Article|13 citations·2005
Bilateral interpolation filters for image size conversion
Seungjoon Yang, Kihyun Hong

This paper presents an image size conversion method based on bilateral filtering. We formulate interpolation with bilateral filters by an optimization problem, with which we can enforce the interpolation constraint as well as smoothness constraint. The designed bilateral filter can be used in image size conversion, providing better pass-band characteristics and less artifacts from aliasing.

Computer Vision and Pattern RecognitionComputer Science
8
Article|13 citations·2002
Maximum likelihood parameter estimation for image ringing artifact removal
Seungjoon Yang, Yu Hen Hu, D.L. Tull, Thanh-Trung Nguyen

At low bit rates, image compression codecs based on overlapping transforms introduce spurious oscillation known as ringing artifacts in the vicinity of major edges. The image quality can be enhanced considerably by removing the artifacts. We present a maximum likelihood approach to the ringing artifact removal problem. Our approach employs a parameter estimation method based on the k-means algorithm with the number of clusters determined by a cluster separation measure. The proposed algorithm an

Computer Vision and Pattern RecognitionComputer Science
9
Article|12 citations·2002
Blocking artifact free inverse discrete cosine transform
Seungjoon Yang, Surin Kittitornkun, Yu Hen Hu, T.Q. Nguyen, D.L. Tull

This paper presents the generalized lapped biorthogonal transform embedded inverse discrete cosine transform (ge-IDCT) as an alternative to the IDCT. The ge-IDCT with nonlinear weighting in the embedded transform domain can reconstruct the signal with alleviated blockishness. Additional complexity, imposed by the replacement, is trivial thanks to an efficient lattice structure. The proposed ge-IDCT is applied in the JPEG still image compression standard to demonstrate its validity.

Computer Vision and Pattern RecognitionComputer Science
10
Article|10 citations·2003
Pattern matching assisted motion estimation and motion vector histogram analysis for interlaced-to-progressive conversion
Seungjoon Yang, Youngho Lee, Sung Hee Lee, Rae‐Hong Park
Proceedings - International Conference on Image Processing

Motion compensated interlaced-to-progressive conversion (MC-IPC) methods employ implicit decision on whether to use the estimated motion vectors in order to prevent spurious errors due to poorly estimated motion vectors. This often limits the performance of the MC-IPC. We present an IPC method based on the pattern matching assisted motion estimation and motion vector histogram analysis. The proposed method employs an explicit decision on whether to use the estimated motion vectors. Extensive exp

Computer Vision and Pattern RecognitionComputer Science
11
Article|10 citations·2002
Coding artifacts removal using biased anisotropic diffusion
Seungjoon Yang, Yu Hen Hu

Biased anisotropic diffusion is applied to the coding artifacts removal of the DCT based codec. It is formulated as a cost minimization problem. The weighting factors of the cost function are controlled such that the solution removes the blocking effect and conceals the block losses. It has an advantage over other postprocessing schemes because it handles the discontinuity of the image, smoothes the image selectively, and takes the visual masking in to account. Features needed for the weighting

Computer Vision and Pattern RecognitionComputer Science
12
Article|8 citations·1999
Blocking effect removal using robust statistics and line process
Seungjoon Yang, Yu Hen Hu, D.L. Tull

The Gibbs distribution with spatially adaptive clique potential functions is used as the image prior distribution in the coding artifact reduction problem. Unlike previous approaches, the image is divided in regions based on the local statistics and a clique potential function is assigned for each region. A non-differentiable potential function that preserves edge in detailed image regions is introduced. Images recovered by the proposed approach contain reduced coding artifact and improved prese

Computer Vision and Pattern RecognitionComputer Science
13
Article|8 citations·2002
Interpolated Mth-band filters for image size conversion
Seungjoon Yang, Truong Q. Nguyen
SJR Q1IEEE Transactions on Signal Processing

Image/video size conversion at variable rates requires that a large set of interpolation filters should be stored in a table. We present the interpolated Mth-band filters as the interpolation filters, which are obtained from the cubic spline interpolation of a prototype M/sub p/th-band eigenfilter. The proposed filter can be calculated in real time, eliminating the need for a large on-chip memory. Scaled images using the proposed filters show superb image quality.

Signal ProcessingComputer Science
14
Article|7 citations·2011
Particle Filtering Based Estimation of Consistent Motion and Disparity With Reduced Search Points
Seungjoon Yang
SJR Q1IEEE Transactions on Circuits and Systems for Video Technology

A particle filtering based block-wise estimation method for estimation of motion in a video sequence and joint estimation of disparity and motion in a stereo video sequence is proposed. Parameters of motion and disparity of a block in a sequence are defined as a state, and evolution of the state with respect to the block index is tracked with particle filtering. The state is assumed to be dependent on the states of neighboring blocks. Estimated motion and disparity fields are consistent and suit

Computer Vision and Pattern RecognitionComputer Science
15
Article|5 citations·2004
Denoising in the lapped transform domain
Seungjoon Yang, Thanh-Trung Nguyen
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).

In this paper, we extend the results of the denoising in the wavelet domain to the lapped transform (LT) domain. The LT coefficients are rearranged into the octave based representation, and their statistics are modeled by the same methods as the wavelet coefficients. Since the part of the LT that follows the discrete cosine transform (DCT) is orthogonal, the problem of removing the quantization noise introduced in the DCT based codecs can be solved in the LT domain. The maximum a posteriori (MAP

Computer Vision and Pattern RecognitionComputer Science

Research Areas

Computer Vision and Pattern RecognitionSignal ProcessingArtificial IntelligenceMedia TechnologyHuman-Computer InteractionAutomotive Engineering

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