Arts and Humanities, General Arts and Humanities, Human-Computer Interaction, Artificial Intelligence
5
Scopus Publications
Scopus Publications
Learning-based Framework for Color Conversion between Digital Cinema Package and Streaming Movie Younghoon Lim, Kwanwoo Park, Joonki Paik Ieie Transactions on Smart Processing and Computing, 2022 Humans feel different experiences when viewing a cinema at the theater and home. This paper presents methods to reduce the difference in the viewing experience. Based on the workflow of digital cinema distribution, the proposed method attempts to minimize the color difference between digital cinema packages (DCP) for the theater and streaming movies. For end-to-end mapping between the DCP and streaming movie, this paper proposes a convolutional neural network (CNN)-based color conversion algorithm based on the SMPTE standard. The proposed method consists of three steps: i) color conversion using standard matrices, ii) color conversion using the CNN, and iii) color saturation error removal by fusing the results in steps i) and ii). The proposed method enhances the color of TV streaming images because it minimizes the color difference from the DCP and appropriately extends the color gamut. As a result, the proposed method can provide consumers with indistinguishable quality from a DCP movie at the theater.
Frequency-domain analysis of discrete wavelet transform coefficients and their adaptive shrinkage for anti-aliasing Eunjung Chae, Eunsung Lee, Wonseok Kang, Younghoon Lim, Junghoon Jung, Taechan Kim, Aggelos K. Katsaggelos, Joonki Paik 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings, 2013 We present an antialiasing method using combined wavelet-Fourier transform and spatially adaptive shrinkage of the transform coefficients. Traditional antialiasing methods employ a simple low-pass filter onto the entire image, so the resulting image loses not only aliasing artifacts but also high-frequency components such as edges and ridges. The proposed algorithm analyzes the property of the LL subband of the discrete wavelet transform (DWT), and reduces aliasing artifacts using patch-adaptive shrinkage of the DWT coefficients. More specifically, an antialiased LL subband is obtained using adaptive patch-based aliasing reduction. To detect an aliased region, we subtract the discrete Fourier transform (DFT) coefficients of the LL subband from the DFT coefficients of antialiased LL subband. The detected aliasing artifacts in the LH, HL, and HH subbands are reduced by patch-wise adaptive shrinkage of the transform coefficients. The resulting antialiased image is obtained using the inverse DWT. The aliasing artifacts can be efficiently reduced by adaptively shrinking wavelet transform coefficients for preserving high-frequency image details. The proposed antialiasing algorithm is suitable for removing aliasing artifacts which frequently occur in imaging sensors with limited resolution.
Image enhancement using similarity-based color matching for high-quality stereoscopic 3D image acquisition SMPTE Annual Technical Conference and Exhibition 2012 SMPTE 2012, 2012
Combined editing and VFX process using metadata for efficient post production SMPTE Annual Technical Conference and Exhibition 2011 SMPTE 2011, 2011
Optimum image codec and digital enhancement techniques for VDSLR-Based filmmaking SMPTE Annual Technical Conference and Exhibition 2011 SMPTE 2011, 2011
