Description: 嵌入式系統中SPIHT算法改進的研究: 本文在重點分析研究SPIHT算法的基礎上,結合現有技術提出一種改進的SPIHT算法.改進的SPIHT算法通過采用提升小波變換、結合人眼視覺特性、對算法的分集排序過程進行優化等措施,進一步提高壓縮性能,而且圖像復原質量較好.-SPIHT algorithm for embedded systems to improve the research: In this paper, the focus of analysis in the SPIHT algorithm based on a combination of existing technologies to improve the SPIHT algorithm. SPIHT algorithm to improve through the use of the lifting wavelet transform, combined with human visual characteristics, the algorithm Diversity order to optimize the process, such as measures to further enhance the compression performance and image quality of a good recovery. Platform: |
Size: 153600 |
Author:jason.. |
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Description: 本篇論文提出的整合式解交錯(Integrated De-interlacing)的演算法，可以有效提昇移
動區域的畫面，但是當移動估計不正確時，反而會使移動補償後的畫面變得很差，為了
改善這種情況，因此結合移動可適性解交錯的優點，並將空間圖場內插(Spatial
Interpolation)的方式改成ELA(Edge Line Average)來設計，經過電腦模擬的結果發現，不僅在視覺上提高畫面的解析度，在某些影像峰值訊號雜訊比(Peak Signal Noise Ratio ,
PSNR)也比線平均解交 錯(Line Average De-interlacing)多出好幾分貝的畫質增益。
此外，在整合式解交錯演算法中也增加影片偵測(Film Detection)和影像加強(Image
Enhancement)的演算法設計，在這樣演算法的架構下，透過影片偵測的演算法，我們可
真實地還原3:2 Pull Down 的影片格式，而不會有鋸齒狀(Saw-Toothed)的畫面出現，而影
像加強的演算法，則可以在解交錯後，經過影像的調整，使輸出畫面呈現不同的效果，
達到消費者的需求。-The main theme of this thesis is an integrated de-interlacing system, which incorporates
several known and improved techniques in a nice manner to produce good de-interlaced image
quality. We first develop an accurate motion detector that classifies image regions into
stationary, low-motion, and high-motion categories. The simple field merging method is
applied to the stationary regions. The edge line average interpolation method is applied to the
slow-motion regions. Finally, the motion-compensated interpolation is applied to the
high-motion regions. In addition, hierarchical motion estimation and motion vector smoothing
techniques are employed to enhance the quality of estimated motion vectors. Our computer
simulation shows that the subjective image quality is improved by using the proposed scheme.
Also, its PSNR measures are better than the conventional spatial or temporal interpolation
schemes. Platform: |
Size: 1171456 |
Author:robin |
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Description: 图像质量测量，Image / Picture Quality Measures
In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images is included in this package. -Image quality measurement, Image/Picture Quality Measures In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images is included in this package. Platform: |
Size: 915456 |
Author:zhang |
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Description: 实现了指纹图像的质量措施ocl(方向确定度),并以网格形式显示-Measures to achieve the quality of the fingerprint image ocl (direction determining degrees), and displays a grid Platform: |
Size: 1024 |
Author:guoyanyan |
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Description: 测试以下图像信息
1。结构内容（SC）
2。均方误差（MSE）
3。峰值信噪比（PSNR值）
4。归一化互相关（NCC）
5。平均差（AD）
6。最大的差异（MD）
7。归一化绝对误差（NAE）-Image/Picture Quality Measures
In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images is included in this package. The list of Image Quality measures implemented in this package include,
1. Structural Content (SC)
2. Mean Square Error (MSE)
3. Peak Signal to Noise Ratio (PSNR in dB)
4. Normalized Cross-Correlation (NCC)
5. Average Difference (AD)
6. Maximum Difference (MD)
7. Normalized Absolute Error (NAE)
Refer Reference.png for the mathematical expressions implemented in this package.
Original images are kept in the folder OriginalImages .
Distorted images are kept in the folder DistortedImages . Platform: |
Size: 1064960 |
Author:陈芳洲 |
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Description: our project is designed for underwater communication.It is used to define the image quality measures. Platform: |
Size: 14783488 |
Author:vijayaraghini |
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Description: Image / Picture Quality Measures
In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images i ncluded in this package. The list of Image Quality measures implemented in this package include,
1. Structural Content (SC)
2. Mean Square Error (MSE)
3. Peak Signal to Noise Ratio (PSNR in dB)
4. Normalized Cross-Correlation (NCC)
5. Average Difference (AD)
6. Maximum Difference (MD)
7. Normalized Absolute Error (NAE)
Refer Reference.png for the mathematical expressions implemented in this package.
Original images are kept in the folder OriginalImages .
Distorted images are kept in the folder DistortedImages .
-Image / Picture Quality Measures
In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images is included in this package. The list of Image Quality measures implemented in this package include,
1. Structural Content (SC)
2. Mean Square Error (MSE)
3. Peak Signal to Noise Ratio (PSNR in dB)
4. Normalized Cross-Correlation (NCC)
5. Average Difference (AD)
6. Maximum Difference (MD)
7. Normalized Absolute Error (NAE)
Refer Reference.png for the mathematical expressions implemented in this package.
Original images are kept in the folder OriginalImages .
Distorted images are kept in the folder DistortedImages .
Platform: |
Size: 1067008 |
Author:Emad Taha |
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Description: There are both multiple-scale and single scale exposure fusion
schemes. Three quality measures of proper exposure, good contrast,
and high saturation were used to determine how much a
given pixel will contribute to the final synthesized image(hat transitions between regions where different images contribute more heavily are difficult to perceive.The exposure fusion scheme was based on an observation that gradient magnitude becomes larger when a pixel gets a state of better exposed and it) Platform: |
Size: 406528 |
Author:song86 |
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Search - image quality measures