HEVC-based lossless intra coding for efficient still image compression

Antony, Abhilash; Sreelekha, G.

doi:10.1007/s11042-015-3138-8

Cited by 16 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pattern of GoP for video compression is IPPBPP and the entire video sequence is divided into number of GoPs of this pattern. The I-frame is directly coded by the host encoder H.265 using the intra-mode coding [5]. The P-frames are coded with reference to the I-frame using a motion model.…”

Section: Proposed Methodsmentioning

confidence: 99%

Synthesis Analysis Methods for Underwater Video Compression with Tensor Based Minimized Side Information

Singh¹,

Suganya²

2019

IJEAT

View full text Add to dashboard Cite

Synthesis analysis is a common approach used to compress videos with more amounts of dynamic textures. Underwater videos contain more moving species captured by moving camera. These kinds of videos have two types of motion registered by both the species and the camera. In this paper, tensor, an N-way representation of data is used to store the side information obtained from the synthesis analysis approach. The Low multilinear rank approximation (LMLRA) with error correction using residual tensor is applied on the side information to reduce the memory space for side information. The host encoder in synthesis analysis approach plays an important role in providing high compression rate with minimal loss and hence H.265 is used as the host encoder. The results show that the proposed method achieves highest compression ratio with minimal loss due to distortion and saved bit rate which is highly consumed by dynamic textures.

show abstract

Section: Proposed Methodsmentioning

confidence: 99%

Synthesis Analysis Methods for Underwater Video Compression with Tensor Based Minimized Side Information

Singh¹,

Suganya²

2019

IJEAT

View full text Add to dashboard Cite

show abstract

“…On the other hand, due to the skipping of the transform step, the redundancy cannot be efficiently removed after block-based prediction, and the compression performance is negatively affected in this case. For this reason, it is necessary to develop some techniques which can be used instead of the transform step [3], [8], [10].…”

Section: Introductionmentioning

confidence: 99%

“…The transform stage has a high impact on the complexity of the HEVC standard. In all intra mode, 9% of the running time of the HEVC HM reference software is consumed in the transform phase [10]. So, we need simple methods to reduce the complexity instead of the transform stage.…”

Section: Introductionmentioning

confidence: 99%

Sample-Weighted RDPCM for lossless image compression with HEVC intra-prediction

Akman,

Cekli

2023

Pamukkale J Eng Sci

View full text Add to dashboard Cite

The correlation between pixels isn't completely removed, which degrade the performance of compression because the transform and quantization steps are bypassed in the lossless image compression with high efficiency video coding intra-prediction. To improve this situation, additional methods such as residual differential pulse code modulation is used in conjunction with the intra-prediction. The basic principle of residual differential pulse code modulation is based on the calculation of an enhanced residue of a pixel which is obtained with subtraction of the residue of left or top neighbor pixel from the residue of the pixel. In this study, a new residual differential pulse code modulation method, sampled-weighted residual differential pulse code modulation, considering an average of two or three neighboring pixels with weight is developed. A simple and fast algorithm is also proposed to determine the weight coefficients to be used in calculating the weighted average for the three neighboring pixels case. To obtain their compression performances the proposed sample-weighted residual differential pulse modulation methods are applied to various test images. The compression ratios of the compressed images are obtained.

show abstract

Lossless image compression: application of Bi-level Burrows Wheeler Compression Algorithm (BBWCA) to 2-D data

Khan

et al. 2016

Multimed Tools Appl

View full text Add to dashboard Cite

HEVC-based lossless intra coding for efficient still image compression

Cited by 16 publications

References 17 publications

Synthesis Analysis Methods for Underwater Video Compression with Tensor Based Minimized Side Information

Synthesis Analysis Methods for Underwater Video Compression with Tensor Based Minimized Side Information

Sample-Weighted RDPCM for lossless image compression with HEVC intra-prediction

Lossless image compression: application of Bi-level Burrows Wheeler Compression Algorithm (BBWCA) to 2-D data

Contact Info

Product

Resources

About