2009
DOI: 10.1541/ieejeiss.129.71
|View full text |Cite
|
Sign up to set email alerts
|

Study on Optimization Method of Quantization Step and the Image Quality Evaluation for Medical Ultrasonic Echo Image Compression by Wavelet Transform

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2009
2009
2014
2014

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(5 citation statements)
references
References 9 publications
0
5
0
Order By: Relevance
“…However, in the case of medical ultrasonic echo image compression, there are many cases where the results of the subjective assessment and the objective assessment do not show the same tendency. In previous research by author, a breast image showed this tendency significantly as shown in Figure1 [11].…”
Section: Problem Of the Quality Evaluation Of Imagementioning
confidence: 59%
See 3 more Smart Citations
“…However, in the case of medical ultrasonic echo image compression, there are many cases where the results of the subjective assessment and the objective assessment do not show the same tendency. In previous research by author, a breast image showed this tendency significantly as shown in Figure1 [11].…”
Section: Problem Of the Quality Evaluation Of Imagementioning
confidence: 59%
“…This proposed GA method enables to optimize the quantization step while keeping the given PSNR level. As the result of experiment where an image with low contrast ROI is used, both of the result of the subjective assessment and the objective assessment (PSNR) show higher quality and lower bit rate than the arithmetic method case [10] [11].…”
Section: Invited Papermentioning
confidence: 97%
See 2 more Smart Citations
“…In objective assessment, several techniques can be measured quantitative by computer program that can automatically predict perceived image quality. They can be classified as Full -Reference (FR) methods and No-Reference (NR) methods [1], [2], [3], [4], [5], [6], [7]. FR image quality assessment methods are evaluation of testing image that is compared to reference image (original/perfect image).…”
Section: Introductionmentioning
confidence: 99%