一種基于FPGA的設計實時高分辨率圖像處理系統的設計方法。英文為Real-Time System for high-Image Resolution Disparity Estimation。主要講算法和系統構架
標簽： Estimation high-Image Resolution Disparity
上傳時間： 2014-01-07
上傳用戶：lacsx
Design of Image Collection System Based on High-speed PCI Bus基于PCI總線的高速圖像采集系統設計
標簽： Collection High-speed PCI Design
上傳時間： 2013-12-24
上傳用戶：上善若水
matlab - image processing - gaussian high pass filter
標簽： processing gaussian matlab filter
上傳時間： 2013-12-16
上傳用戶：ccclll
easy cms for getion you image with high qualite
上傳時間： 2013-12-22
上傳用戶：alan-ee
int trace (int i, int j, int low, IMAGE im,IMAGE mag, IMAGE ori) float gauss(float x, float sigma) float dGauss (float x, float sigma) float meanGauss (float x, float sigma) void hysteresis (int high, int low, IMAGE im, IMAGE mag, IMAGE oriim) void canny (float s, IMAGE im, IMAGE mag, IMAGE ori)
上傳時間： 2015-01-30
上傳用戶：杜瑩12345
SR-tree is an index structure for high-dimensional nearest neighbor queries，C++ sourcecode. SR-tree outperforms the R*-tree and the SS-tree especially for high-dimensional and non-uniform data which are likely to appear in the actual image / video applications.
標簽： high-dimensional structure neighbor SR-tree
上傳時間： 2013-12-10
上傳用戶：zjf3110
Wavelets have widely been used in many signal and image processing applications. In this paper, a new serial-parallel architecture for wavelet-based image compression is introduced. It is based on a 4-tap wavelet transform, which is realised using some FIFO memory modules implementing a pixel-level pipeline architecture to compress and decompress images. The real filter calculation over 4 · 4 window blocks is done using a tree of carry save adders to ensure the high speed processing required for many applications. The details of implementing both compressor and decompressor sub-systems are given. The primarily analysis reveals that the proposed architecture, implemented using current VLSI technologies, can process a video stream in real time.
標簽： applications processing Wavelets widely
上傳時間： 2014-01-22
上傳用戶：hongmo
A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signi cant colors, a prepro- cessor for content-based query systems. A 512 512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate
標簽： technique presented features recovery
上傳時間： 2015-10-14
上傳用戶：410805624
Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. Image restoration using medean filter, weiner filter with noise generator such as Gaussian noise, Salt and Pepper noise
標簽： frequency enhancement Gaussian Fourier
上傳時間： 2017-08-24
上傳用戶：xinzhch
資料->【E】光盤論文->【E1】斯坦福博士論文->03 California PhD High integrity GPS-INS filter for precise relative navigation.pdf
標簽： California navigation integrity relative
上傳時間： 2013-07-03
上傳用戶：jiiszha
