Performance analysis of diamond search algorithm over full search algorithm

Priyadarshi, Rahul; Soni, Surender Kumar; Bhadu, Rampal; Nath, Vijay

doi:10.1007/s00542-017-3625-0

Cited by 20 publications

(1 citation statement)

References 27 publications

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“…Motion estimation generally restores the image through motion vector and residual data, but for bit motion estimation, the matching of each bit plane will generate residual value, which increases the amount of data transmission. According to the characteristics of the human eye, a small amount of highfrequency noise is usually difficult to detect by the human eye [9] . Therefore, supplementary blocks can be added on the basis of the 10 matching blocks in the search range, so that the residual difference between the most similar matching block and the block to be matched is less than the JND threshold, and there is no need to transmit it.…”

Section: Search Scope：mentioning

confidence: 99%

P‐4.5: A video data compression algorithm based on bit plane

Chengyu,

Limin

2023

Symp Digest of Tech Papers

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High resolution and high refresh rate increase the pressure of wide transmission. Usually, video compression is used to solve this problem. However, traditional video compression methods cannot be performed in bit‐plane, which will increase the cost of storage area. For this reason, this paper first introduces a bit just noticeable difference (BJND) model based on bit‐plane. By analyzing the relationship between the bit‐plane, frequency and eccentricity, the bit just noticeable difference threshold of viewpoint is calculated. Finally, the just noticeable difference model applied to bit‐plane is obtained. Then this paper proposes a video compression scheme based on bit motion estimation algorithm, which optimizes the search range of motion estimation into two small rhombuses of time dimension and gray‐scale dimension. According to human visual system and probability statistical analysis, supplementary matching blocks are added to replace residual data, so that the compression ratio will be constant. The experimental results show that the proposed scheme has the best comprehensive effect on the compression of the lower five‐bit plane. The compression ratio is 1.385, the data transmission is constant, and there is no obvious difference between the restored image and the original image, which conforms to the intuitive perception of the human eye.

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Section: Search Scope：mentioning

confidence: 99%