Image Signal Processing LAB

ABOUT ISPL

The Image Signal Processing Laboratory (ISPL) focuses on research in image processing for image enhancement and restoration, as well as digital image forensics that detect image forgery and identify the areas of manipulation. We also study machine learning techniques for image processing and forgery detection, which is an emerging field of interest. Furthermore, we aim to collaborate with various research fields, including aerospace engineering and remote sensing, to expand our research fileds.

ISPL News

Paper submitted: Progressive low-light image enhancement via information transfer, by Jun Young Park, April 2025.
Paper submitted: Contrast-aware low-light image enhancement network, by Jun Young Park, Mar. 2025.
Congratulations: Sung Min Chun (MS) joined the Hyundai Motors (현대자동차), Mar. 2025.
New member: Se Hyun Lee ( Combined MS-Ph.D course), Mar. 2025.
Paper submitted: Low-light image enhancement via frequency cross-attention between wavelet subbands, by Da Eun Lee and Jun Young Park, Oct. 2024.
Paper published: Low-light image enhancement network using informative feature stretch and attention, by Sung Min Chun and Jun Young Park, Electronics [IF=2.6 (2023)] Oct. 2024.
Paper submitted: Two-phase underwater image enhancement network using multiscale attentive unsharp masking, by Ju Heon Lee, Sept. 2024.
Congratulations: So Young Choi (MS) joined the Gyeongnam Techno-Park (경남테크노파크), Sept. 2024.
Paper published: Edge-preserving image deraining network using cumulative feature aggregation, by So Young Choi and Su Yeon Park, Appl. Soft Comput. [IF=7.2 (2023)] Sept. 2024.
Paper published: Iterative image rain removal network using consecutive residual long short-term memory, by Su Yeon Park, Neurocomputing [IF=5.5 (2023)] Jul. 2024.
Congratulations: Cheol Woo Park (Ph.D) joined the Agency for Defense Development (국방과학연구소), May 2024.
New member: Da Eun Lee (MS course), Mar. 2024.
Paper published: Low-light image enhancement using gamma correction prior in mixed color spaces, by Jong Ju Jeon and Jun Young Park, Pattern Recognit. [IF=7.5 (2023)] Feb. 2024.
Paper published: Underwater image enhancement using adaptive standardization and normalization networks, by Cheol Woo Park, Eng. Appl. Artif. Intell. [IF=7.5 (2023)] Jan. 2024.
Paper published: ULBPNet: Low-light image enhancement using U-shaped lightening back-projection, by Jun Yong Park and Cheol Woo Park, Knowl. Based Syst. [IF=8.8 (2022)] Dec. 2023.
Congratulations: Sang In Lee (MS) joined the Agency for Defense Development (국방과학연구소), Sept. 2023.
Congratulations: Jong Ju Jeon (Ph.D) joined the National Forensic Service (국립과학수사연구원), July 2023.
Paper published: Lattice structure and spatial network models incorporating into simulating human-assisted invasion of the western conifer seed bug populations in Korea, Forests [IF=2.9 (2022)] Mar. 2023.
New members: Su Yeon Park (Ph.D course), Ju Heon Lee (MS course), Mar. 2023.
Paper published: Sand-dust image enhancement using chromatic variance consistency and gamma correction-based dehazing, by Jong Ju Jeon, Sensors [IF=3.847 (2021)] Dec. 2022.
Paper published: CNN-based copy-move forgery detection using rotation-invariant wavelet feature, by Sang In Lee and Jun Young Park, IEEE Access [IF=3.476 (2021)] Oct. 2022.
Paper published: Low-light image enhancement using inverted image normalized by atmospheric light, by Jong Ju Jeon, Signal Process. [IF=4.729 (2021)] July, 2022.

ISPL News

Paper submitted: Contrast-aware low-light image enhancement network, by Jun Young Park, Mar. 2025.
Congratulations: Sung Min Chun (MS) joined the Hyundai Motors (현대자동차), Mar. 2025.
New member: Se Hyun Lee ( Combined MS-Ph.D course), Mar. 2025.
Paper submitted: Low-light image enhancement via frequency cross-attention between wavelet subbands, by Da Eun Lee and Jun Young Park, Oct. 2024.
Paper published: Low-light image enhancement network using informative feature stretch and attention, by Sung Min Chun and Jun Young Park, Electronics [IF=2.6 (2023)] Oct. 2024.
Paper submitted: Two-phase underwater image enhancement network using multiscale attentive unsharp masking, by Ju Heon Lee, Sept. 2024.
Congratulations: So Young Choi (MS) joined the Gyeongnam Techno-Park (경남테크노파크), Sept. 2024.
Paper published: Edge-preserving image deraining network using cumulative feature aggregation, by So Young Choi and Su Yeon Park, Appl. Soft Comput. [IF=7.2 (2023)] Sept. 2024.
Paper published: Iterative image rain removal network using consecutive residual long short-term memory, by Su Yeon Park, Neurocomputing [IF=5.5 (2023)] Jul. 2024.
Congratulations: Cheol Woo Park (Ph.D) joined the Agency for Defense Development (국방과학연구소), May 2024.
New member: Da Eun Lee (MS course), Mar. 2024.
Paper published: Low-light image enhancement using gamma correction prior in mixed color spaces, by Jong Ju Jeon and Jun Young Park, Pattern Recognit. [IF=7.5 (2023)] Feb. 2024.
Paper published: Underwater image enhancement using adaptive standardization and normalization networks, by Cheol Woo Park, Eng. Appl. Artif. Intell. [IF=7.5 (2023)] Jan. 2024.
Paper published: ULBPNet: Low-light image enhancement using U-shaped lightening back-projection, by Jun Yong Park and Cheol Woo Park, Knowl. Based Syst. [IF=8.8 (2022)] Dec. 2023.
Congratulations: Sang In Lee (MS) joined the Agency for Defense Development (국방과학연구소), Sept. 2023.
Congratulations: Jong Ju Jeon (Ph.D) joined the National Forensic Service (국립과학수사연구원), July 2023.
Paper published: Lattice structure and spatial network models incorporating into simulating human-assisted invasion of the western conifer seed bug populations in Korea, Forests [IF=2.9 (2022)] Mar. 2023.
New members: Su Yeon Park (Ph.D course), Ju Heon Lee (MS course), Mar. 2023.
Paper published: Sand-dust image enhancement using chromatic variance consistency and gamma correction-based dehazing, by Jong Ju Jeon, Sensors [IF=3.847 (2021)] Dec. 2022.
Paper published: CNN-based copy-move forgery detection using rotation-invariant wavelet feature, by Sang In Lee and Jun Young Park, IEEE Access [IF=3.476 (2021)] Oct. 2022.
Paper published: Low-light image enhancement using inverted image normalized by atmospheric light, by Jong Ju Jeon, Signal Process. [IF=4.729 (2021)] July, 2022.

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