本程序實現任意偶數大小圖像第二代雙正交97提升小波變換 注1： 采用標準正交方法，對行列采用不同矩陣（和matlab里不同） 注2： 為了保證正交，所有邊界處理，全部采用循環處理 注3： 正交性驗證，將單位陣帶入函數，輸出仍是單位陣（matlab不具有此性質） 注4： 此程序是矩陣實現，所以圖像水平分量和垂直分量估計被交換位置 注5： 此程序實現的是類小波（wavelet-like）變換，是介于小波包變換與小波變換之間的變換 注6： 此程序每層變換相對原圖像矩陣，產生的矩陣都是正交陣，這和小波包一致 注7： 但小波變換每層產生的矩陣，是相對每個待分解子塊的正交矩陣，而不是原圖像的正交矩陣 注8： 且小波變換產生的正交矩陣維數，隨分解層數2分減少 注9: 提升系數可以在MATLAB7.0以上版本，用liftwave( 9.7 )獲取，這里直接給出，考慮兼容性 注10：由于MATLAB數組下標從1開始，所以注意奇偶序列的變化 注11：d為對偶上升，即預測；p為原上升，即更新
上傳時間： 2016-08-09
上傳用戶：lanjisu111
EZW Embedded Zero-tree wavelets Encoding,video codecs from the EZW family which use a 3D version of EZW or SPIHT algorithms showed better performance than the MPEG-2 compression algorithm. These algorithms have many advantages inherent for wavelet based schemes and EZW-like coders. Their most important advantages are good compression performance and scalability.
標簽： EZW Zero-tree Embedded wavelets
上傳時間： 2013-12-20
上傳用戶：wsf950131
小波神經網絡的源程序: 1.構造的非線性函數: 位于nninit_test.m 2.直接用WNN逼近非線性:Wnn_test.m, (內部調用小波函數) 3.遺傳算法優化后逼近 :GA_Wnn_test.m (內部調用遺傳算法的,初始化,適應度,解碼函數)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
標簽： nninit_test GA_Wnn_tes Wnn_test WNN
上傳時間： 2016-09-17
上傳用戶：LIKE
-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
標簽： present modalities existence different
上傳時間： 2014-03-04
上傳用戶：15736969615
A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were Performance enhancement of wireless sensor networks using directional antennas, Smart card application and wireless communication. Also my research idea titled “wavelet Based Image Compression Using SPIHT Algorithm “secured third prize in a technical festival.
標簽： Supervisory Acquisition presented Control
上傳時間： 2014-01-12
上傳用戶：zhouli
標簽： wavelet
上傳時間： 2017-06-29
上傳用戶：FreeSky
內容包含: 1. 信號去噪的各種方法簡介 2. 離散小波轉換的原理 3. 層數選擇的方法 4. 除噪時lamda的選擇方法與公式 5. SURE算法與詳細公式( 清華胡老師書里的公式是錯的)
標簽： wavelet;denoise
上傳時間： 2015-12-22
上傳用戶：cjw560467
貝葉斯閾值方法實現圖像去噪，對文獻Chang.adaptive wavelet thresholding for image denoising and compression仿真結果。-Bayesian threshold method of image denoising。
標簽： 小波 圖像處理
上傳時間： 2016-04-25
上傳用戶：shiaijianjun
