IMAGE ENCODING/DECODING METHOD AND DEVICE

Organization Name

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor(s)

Sung Chang Lim of Daejeon (KR)

Jung Won Kang of Daejeon (KR)

Hyun Suk Ko of Daejeon (KR)

Jin Ho Lee of Daejeon (KR)

Dong San Jun of Daejeon (KR)

Ha Hyun Lee of Seoul (KR)

Seung Hyun Cho of Daejeon (KR)

Hui Yong Kim of Daejeon (KR)

Jin Soo Choi of Daejeon (KR)

Yung Lyul Lee of Seoul (KR)

Jun Woo Choi of Seoul (KR)

IMAGE ENCODING/DECODING METHOD AND DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18513906 titled 'IMAGE ENCODING/DECODING METHOD AND DEVICE

Simplified Explanation

The present invention relates to an image encoding/decoding method and apparatus. An image encoding method according to the present invention may comprise generating a transform block by performing at least one of transform and quantization; grouping at least one coefficient included in the transform block into at least one coefficient group (CG); scanning at least one coefficient included in the coefficient group; and encoding the at least one coefficient.

Generating transform block by transform and quantization
Grouping coefficients into coefficient groups
Scanning coefficients within coefficient groups
Encoding coefficients

Potential Applications

The technology can be applied in:

Video compression
Image transmission over networks
Digital storage systems

Problems Solved

Efficient image encoding
Reduced data size for storage and transmission
Improved image quality

Benefits

Higher compression rates
Faster image encoding and decoding
Enhanced image quality

Potential Commercial Applications

Optimized Image Encoding Method for Efficient Data Compression

Possible Prior Art

One possible prior art could be the use of traditional image encoding methods that do not involve grouping coefficients into coefficient groups for encoding.

Unanswered Questions

How does this method compare to existing image encoding techniques in terms of compression rates and image quality?

The article does not provide a direct comparison with existing methods.

Are there any limitations or constraints in the implementation of this image encoding method?

The article does not mention any potential limitations or constraints in the implementation of the method.

Original Abstract Submitted