Design of adaptable, optimal, and low complex JPEG2000 transcoding of images on OFDM network using DWT
Shakti Awaghad, Sanjay B. Pokle
Abstract
Shakti Awaghad, Sanjay B. Pokle
Abstract
Transcoding is an inevitable need that is highly required for the current communication system like telemedicine, education, etc. However, it is not devoid of challenges that occur during retrieval end of format incompatibility. Apart from the massive research work in past on designing efficient transcoder architecture, quality of image resolution in wireless media is found to be quite challenging. Hence, this paper presents a novel algorithm that ensures transmission of a quality image file using pre-defined compression ratio and simulated over wireless standards e.g. OFDM. For ensuring quality delivery, the system uses simple and cost effective discrete wavelet transform that can maintain better resolution till the retrieval stage. Continued by quantization and entropy encoding, the system uses the design of JPEG2000 transcoder considering PSNR and BPP as the factor of evaluation.
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Transcoding is an inevitable need that is highly required for the current communication system like telemedicine, education, etc. However, it is not devoid of challenges that occur during retrieval end of format incompatibility. Apart from the massive research work in past on designing efficient transcoder architecture, quality of image resolution in wireless media is found to be quite challenging. Hence, this paper presents a novel algorithm that ensures transmission of a quality image file using pre-defined compression ratio and simulated over wireless standards e.g. OFDM. For ensuring quality delivery, the system uses simple and cost effective discrete wavelet transform that can maintain better resolution till the retrieval stage. Continued by quantization and entropy encoding, the system uses the design of JPEG2000 transcoder considering PSNR and BPP as the factor of evaluation.
Key concepts: Transcoding, Computer science, JPEG 2000, Orthogonal frequency-division multiplexing, Image compression, Image quality, Real-time computing, Quantization (signal processing)