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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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IEIE Transactions on Smart Processing and Computing
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The Institute of Electronics Engineers of Korea
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Volume & Issues
Volume 3, Issue 6 - Dec 2014
Volume 3, Issue 5 - Oct 2014
Volume 3, Issue 4 - Aug 2014
Volume 3, Issue 3 - Jun 2014
Volume 3, Issue 2 - Apr 2014
Volume 3, Issue 1 - Feb 2014
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Inter-Conversion Matrix for Transcoding Block DCT and DWT-Based Compressed Images
Kim, Donggyun ; Lim, Sanghee ; Paik, Joonki ;
IEIE Transactions on Smart Processing and Computing, volume 3, issue 3, 2014, Pages 103~109
DOI : 10.5573/IEIESPC.2014.3.3.103
This study derived the inter-conversion matrices, which can be used in heterogeneous image transcoding between the compressed images using different transforms, such as the
block discrete cosine transform (BDCT) and the one-level discrete wavelet transform (DWT). Basically, to obtain the one-level DWT coefficients from
BDCT, inverse BDCT should be performed followed by forward DWT, and vice versa. On the other hand, if the proposed interconversion approach is used, only one inter-conversion matrix multiplication makes the corresponding transcoding possible. Both theoretical and experimental analyses showed that the amount of computation of the proposed approach decreases over 20% when the inter-conversion matrices are used under specific conditions.
Depth-adaptive Sharpness Adjustments for Stereoscopic Perception Improvement and Hardware Implementation
Kim, Hak Gu ; Kang, Jin Ku ; Song, Byung Cheol ;
IEIE Transactions on Smart Processing and Computing, volume 3, issue 3, 2014, Pages 110~117
DOI : 10.5573/IEIESPC.2014.3.3.110
This paper reports a depth-adaptive sharpness adjustment algorithm for stereoscopic perception improvement, and presents its field-programmable gate array (FPGA) implementation results. The first step of the proposed algorithm was to estimate the depth information of an input stereo video on a block basis. Second, the objects in the input video were segmented according to their depths. Third, the sharpness of the foreground objects was enhanced and that of the background was maintained or weakened. This paper proposes a new sharpness enhancement algorithm to suppress visually annoying artifacts, such as jagging and halos. The simulation results show that the proposed algorithm can improve stereoscopic perception without intentional depth adjustments. In addition, the hardware architecture of the proposed algorithm was designed and implemented on a general-purpose FPGA board. Real-time processing for full high-definition stereo videos was accomplished using 30,278 look-up tables, 24,553 registers, and 1,794,297 bits of memory at an operating frequency of 200MHz.
Novel Motion and Disparity Prediction for Multi-view Video Coding
Lim, Woong ; Nam, Junghak ; Sim, Donggyu ;
IEIE Transactions on Smart Processing and Computing, volume 3, issue 3, 2014, Pages 118~127
DOI : 10.5573/IEIESPC.2014.3.3.118
This paper presents an efficient motion and disparity prediction method for multi-view video coding based on the high efficient video coding (HEVC) standard. The proposed method exploits inter-view candidates for effective prediction of the motion or disparity vector to be coded. The inter-view candidates include not only the motion vectors of adjacent views, but also global disparities across views. The motion vectors coded earlier in an adjacent view were found to be helpful in predicting the current motion vector to reduce the number of bits used in the motion vector information. In addition, the proposed disparity prediction using the global disparity method was found to be effective for interview predictions. A multi-view version based on HEVC was used to evaluate the proposed algorithm, and the proposed correspondence prediction method was implemented on a multi-view platform based on HEVC. The proposed algorithm yielded a coding gain of approximately 2.9% in a high efficiency configuration random access mode.
Real-Time Continuous-Scale Image Interpolation with Directional Smoothing
Yoo, Yoonjong ; Shin, Jeongho ; Paik, Joonki ;
IEIE Transactions on Smart Processing and Computing, volume 3, issue 3, 2014, Pages 128~134
DOI : 10.5573/IEIESPC.2014.3.3.128
A real-time, continuous-scale image interpolation method is proposed based on a bilinear interpolation with directionally adaptive low-pass filtering. The proposed algorithm was optimized for hardware implementation. The ordinary bi-linear interpolation method has blocking artifacts. The proposed algorithm solves this problem using directionally adaptive low-pass filtering. The algorithm can also solve the severe blurring problem by selectively choosing low-pass filter coefficients. Therefore, the proposed interpolation algorithm can realize a high-quality image scaler for a range of imaging systems, such as digital cameras, CCTV and digital flat panel displays.
Performance Analysis of PAPR and LS Estimation in OFDM Systems
Khan, Latif Ullah ;
IEIE Transactions on Smart Processing and Computing, volume 3, issue 3, 2014, Pages 135~141
DOI : 10.5573/IEIESPC.2014.3.3.135
The inherent feature of the highly efficient spectrum usage has made Orthogonal Frequency Division Multiplexing (OFDM) preferable for Communication Standards. This study evaluated the performance of a Least Square (LS) estimator for a comb-type pilot insertion scheme over a fast fading Rayleigh channel. A High Peak-to-Average Power Ratio (PAPR) is one of the major downsides of the OFDM. The effects of an increase in the number of subcarriers on PAPR and the performance of the LS Estimator were studied. Increasing the number of subcarriers while keeping the pilots overhead constant resulted in improved performance of the LS estimator but the PAPR increased with increasing number of subcarriers. Therefore some trade-off between the number of subcarriers and the performance of the OFDM system is needed. The Mean Square Error (MSE) expression was also derived for the LS estimator in the case of a comb-type pilot arrangement. The MSE expression clearly explains the effects of the number of subcarriers on the performance of the LS estimator.
Improved Physical Layer Implementation of VANETs
Khan, Latif Ullah ; Khattak, M. Irfan ; Khan, Naeem ; Khan, Atif Sardar ; Shafi, M. ;
IEIE Transactions on Smart Processing and Computing, volume 3, issue 3, 2014, Pages 142~152
DOI : 10.5573/IEIESPC.2014.3.3.142
Vehicular Ad-hoc Networks (VANETs) are comprised of wireless mobile nodes characterized by a randomly changing topology, high mobility, availability of geographic position, and fewer power constraints. Orthogonal Frequency Division Multiplexing (OFDM) is a promising candidate for the physical layer of VANET because of the inherent characteristics of the spectral efficiency and robustness to channel impairments. The susceptibility of OFDM to Inter-Carrier Interference (ICI) is a challenging issue. The high mobility of nodes in VANET causes higher Doppler shifts, which results in ICI in the OFDM system. In this paper, a frequency domain com-btype channel estimation was used to cancel out ICI. The channel frequency response at the pilot tones was estimated using a Least Square (LS) estimator. An efficient interpolation technique is required to estimate the channel at the data tones with low interpolation error. This paper proposes a robust interpolation technique to estimate the channel frequency response at the data subcarriers. The channel induced noise tended to degrade the Bit Error Rate (BER) performance of the system. Parallel concatenated Convolutional codes were used for error correction. At the decoding end, different decoding algorithms were considered for the component decoders of the iterative Turbo decoder. A performance and complexity comparison among the various decoding algorithms was also carried out.
A Fat-Tissue Mimic Phantom for Therapeutic Ultrasound
Kim, Mi Seon ; Kim, Ju Young ; Jung, Hyun Du ; Kim, Jae Young ; Choi, Heung Ho ;
IEIE Transactions on Smart Processing and Computing, volume 3, issue 3, 2014, Pages 153~159
DOI : 10.5573/IEIESPC.2014.3.3.153
As the number of treatments in the therapeutic ultrasound field targeted at fat tissue increase, the performance of the equipment should be evaluated for safety using a fat phantom. In this study, a fat phantom was fabricated using olive oil and a tissue-mimicking material (TMM) phantom. To evaluate the acoustic properties of the TMM phantom according to the changes in the olive oil, the composition ratio of a liquid mixture of olive oil with a surfactant was adjusted from 5-20% in 5% steps. The acoustic properties of the phantom were evaluated using the sound velocity, attenuation coefficient, density, and acoustic impedance. The experimental results showed that the sound velocity decreased with increasing amount of olive oil but the other acoustic properties did not change. In addition, the phantom using an olive-oil mixture with a 15% composition ratio was most similar to the acoustic characteristics of fat tissue with a sound velocity of 1477.35 m/s, an attenuation coefficient of 0.514 dB/MHz-cm, a density of
, and an acoustic impedance of 1.575 MRayl. These experimental results are expected contribute to the accuracy of the results using a TMM phantom and will be useful for the therapeutic ultrasound field targeted at subcutaneous fat tissue.