• Shashank Sekhar
• Dr. Sumit Bhattachargeee

Optimal trade-off among distortion, rate, and/or complexity is one of the primary design concerns for image and video coding/transcoding due to the lossy nature of image/video compression and the costly bandwidth and compute resources in a multimedia system. To investigate the best RD performance of a video codec compatible to the latest video coding standard H.264 and to design computationally efficient down-sampling algorithms with high visual fidelity in the discrete Cosine transform (DCT) domain, this thesis investigates the application of rate distortion (RD) optimization approaches to image and video coding/transcoding. We have also presented a conceptual framework for image/video transcoding with spatial resolution reduction, i.e. to down-sample compressed images/video with an arbitrary ratio in the DCT domain, by examining the trade-off between distortion and complexity. To begin, we construct a set of down-sampling techniques that are modeled after a linear transform with double-sided matrix multiplication (LTDS) in the DCT domain

Optimal trade-off among distortion, rate, and/or complexity is one of the primary design concerns for image and video coding/transcoding due to the lossy nature of image/video compression and the costly bandwidth and compute resources in a multimedia system. To investigate the best RD performance of a video codec compatible to the latest video coding standard H.264 and to design computationally efficient down-sampling algorithms with high visual fidelity in the discrete Cosine transform (DCT) domain, this thesis investigates the application of rate distortion (RD) optimization approaches to image and video coding/transcoding. We have also presented a conceptual framework for image/video transcoding with spatial resolution reduction, i.e. to down-sample compressed images/video with an arbitrary ratio in the DCT domain, by examining the trade-off between distortion and complexity. To begin, we construct a set of down-sampling techniques that are modeled after a linear transform with double-sided matrix multiplication (LTDS) in the DCT domain

"IMAGE/VIDEO TRANSCODING WITH SPATIAL RESOLUTION REDUCTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.e676-e683, October-2022, Available :http://www.jetir.org/papers/JETIR2210493.pdf

"IMAGE/VIDEO TRANSCODING WITH SPATIAL RESOLUTION REDUCTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppe676-e683, October-2022, Available at : http://www.jetir.org/papers/JETIR2210493.pdf