In this paper, we propose a rate distortion optimization based content adaptive transform method for motion compensation residuals. The proposed method utilizes pixel rearrangement to dynamically adjust the transform ...
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ISBN:
(纸本)9781479902941
In this paper, we propose a rate distortion optimization based content adaptive transform method for motion compensation residuals. The proposed method utilizes pixel rearrangement to dynamically adjust the transform kernels to adapt to the residual content. Comparing with the traditional adaptive transforms, the highlight of this work is that it obtains the transform kernels from the decoded block, and hence it consumes only one overhead bit for each transform unit. Moreover, rate distortion optimization scheme is used to choose the best candidate kernels. Experimental results show that the proposed method achieves an average 0.35 dB gain of PSNR in comparison with the key technical areas (KTA) encoder.
Massive amount of storage capacity is required to store medical image sequences in their raw form. Medical image sequences play an important role;hence it is obligatory to develop a system that produces high degree of...
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ISBN:
(纸本)9781479934485
Massive amount of storage capacity is required to store medical image sequences in their raw form. Medical image sequences play an important role;hence it is obligatory to develop a system that produces high degree of compression while preserving the medical information. Therefore loss less compression is needed to reduce the consumption of expensive resources such as hard disk space or transmission bandwidth. The method that combines SPIHT and an inter-frame coding with motion vectors is proposed to improve the compression ratio. inter-frame coding is used to exploit the correlation among image sequences. To begin with SPIHT is applied with fast block matching process. Compression Ratio and Peak Signal-to-Noise Ratio are compared with other state of art coding.
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