Fundamentals of digital image processing
Fundamentals of digital image processing
A texture thesaurus for browsing large aerial photographs
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Statistical Edge Detection: Learning and Evaluating Edge Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive up-sampling method using DCT for spatial scalability of scalable video coding
IEEE Transactions on Circuits and Systems for Video Technology
A multistage representation of the Wiener filter based on orthogonal projections
IEEE Transactions on Information Theory
Markov random field models for directional field and singularity extraction in fingerprint images
IEEE Transactions on Image Processing
Markov Random Field Model-Based Edge-Directed Image Interpolation
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Mobile Video Transmission Using Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Spatial Scalability Within the H.264/AVC Scalable Video Coding Extension
IEEE Transactions on Circuits and Systems for Video Technology
Real-Time System for Adaptive Video Streaming Based on SVC
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Classified Multifilter Up-Sampling Algorithm in Spatial Scalability for H.264/SVC Encoder
IEEE Transactions on Circuits and Systems for Video Technology
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The Scalable Video Codec extension to the H.264 standard (H.264 SVC) is designed to deliver the benefits described in the preceding ideal scenario. It is based on the H.264 Advanced Video Codec standard (H.264 AVC) and heavily leverages the tools and concepts of the original codec. The encoded stream it generates, however, is scalable: temporally, spatially, and in terms of video quality. That is, it can yield decoded video at different frame rates, resolutions, or quality levels. H.264/scalable video coding (SVC) supports spatial scalable coding with arbitrary resolution ratios, which can be obtained by up-scaling the image sequences with lower resolution. Since the performance of up-scaling technique directly affect the video quality. In this research, we propose an Improved Classified Multi-Filter Up-Sampling Algorithm (ICMFUSA) that uses adaptive bi-cubic/bilinear filters along with the wiener filter to improve the scalability performance. Experimental results show that the improved algorithm significantly reduces the bit-rate and improves the PSNR.