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Description: This file include the DCT and IDCT transform of an image.
void show_DCT( void )
void DCT_8x8( float* data )
void IDCT_8x8( float* data )
void BDCT( float* input,int rows,int cols )
void BIDCT( float* input,int rows,int cols )
void get_8x8DCT( float* output, int pos_y, int pos_x, float* image, int rows, int cols )
void set_identity( float* data, int size, bool flag )
float* mult_8x8( float*data1,float*data2 )
float* sm_mult_8x8( float *C1, float *A, float *C2 )
float* add_8x8( float*data1,float*data2 )
void initial_fast()
void close_fast()
void get_fast_8x8DCT_sparse( float* output, int pos_y, int pos_x, float* input, int rows, int cols )
void get_fast_8x8DCT( float* output, int pos_y, int pos_x, float* input, int rows, int cols, bool sparse )
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Size: 5049 |
Author: wan_xianglin |
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Description: 一个图像压缩编码的程序。其中Foreman[30fps].qcif是图像样本。其中包括差分编码，DCT变换，运动检测，量化编码等。-an image coding procedures. Which Foreman [30fps]. Qcif samples of images. These include differential coding, DCT, motion detection, quantification coding.
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Size: 1219584 |
Author: 金鑫 |
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Description: 对原始灰度图像 Lena_gray.bmp进行图像压缩实验
1．对此图进行 8×8 DCT 变换后，分别只保留 DC系数，以及保留前 4、8、16 个变换系数(DC＋AC) ，然后再分别进行 IDCT 变换，比较结果。
2．可以使用 Matlab - Image Processing Toolbox 中的函数实现。
-gray image of the original image compression Lena_gray.bmp an experiment. This diagram 8 8 DCT, the only difference reservations DC coefficient, and the preservation of the former 4, 8 or 16 DCT coefficients (DC+ AC), and then separately IDCT transformation, the results of the comparison. 2. Using Matlab-Image Processing Toolbox to achieve the function.
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Size: 1024 |
Author: 朱晓路 |
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Description: 上传的是C编写的DCT算法，在图象处理方面常用到，希望对你有用-upload is prepared by the C DCT algorithm, the image processing used to the hope that useful to you
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Size: 1024 |
Author: 廖和 |
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Description: 总结分析现有的题目相关图像压缩算法；对现有的主要图像压缩关键算法进行仿真实现，给出各种算法的优缺点和适用范围；选定本毕业设计采用方案，编出基于DCT变换的图像压缩仿真设计程序-analysis of topics related to the existing image compression algorithm; of the existing main key image compression algorithm simulation realized, given the advantages and disadvantages of each method and the scope of application; selected the design of the use of the program graduation, came up with DCT-based image compression simulation design process
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Size: 652288 |
Author: 陈兵 |
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Description: This file include the DCT and IDCT transform of an image.
void show_DCT( void )
void DCT_8x8( float* data )
void IDCT_8x8( float* data )
void BDCT( float* input,int rows,int cols )
void BIDCT( float* input,int rows,int cols )
void get_8x8DCT( float* output, int pos_y, int pos_x, float* image, int rows, int cols )
void set_identity( float* data, int size, bool flag )
float* mult_8x8( float*data1,float*data2 )
float* sm_mult_8x8( float *C1, float *A, float *C2 )
float* add_8x8( float*data1,float*data2 )
void initial_fast()
void close_fast()
void get_fast_8x8DCT_sparse( float* output, int pos_y, int pos_x, float* input, int rows, int cols )
void get_fast_8x8DCT( float* output, int pos_y, int pos_x, float* input, int rows, int cols, bool sparse )
-This file include the DCT and IDCT transform of an image.
void show_DCT( void )
void DCT_8x8( float* data )
void IDCT_8x8( float* data )
void BDCT( float* input,int rows,int cols )
void BIDCT( float* input,int rows,int cols )
void get_8x8DCT( float* output, int pos_y, int pos_x, float* image, int rows, int cols )
void set_identity( float* data, int size, bool flag )
float* mult_8x8( float*data1,float*data2 )
float* sm_mult_8x8( float*C1, float*A, float*C2 )
float* add_8x8( float*data1,float*data2 )
void initial_fast()
void close_fast()
void get_fast_8x8DCT_sparse( float* output, int pos_y, int pos_x, float* input, int rows, int cols )
void get_fast_8x8DCT( float* output, int pos_y, int pos_x, float* input, int rows, int cols, bool sparse )
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Size: 5120 |
Author: wan_xianglin |
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Description: 使用二维离散余弦变换(DCT)进行图象压缩。原始图象被转换成为8*8大小的块进行压缩和重构。 Cnum:为压缩时保留的系数的个数 MSM:均方误差压缩应该做到在最合理的近似原图象的情况下使用最少的系数。函数：dctmtx:返回一个n*n阶DCT变换 blkproc:对图象进行不同的块处理。 im2col:重排图象块为矩阵列。注意：只适用于灰度图象。-The use of two-dimensional discrete cosine transform (DCT) for image compression. Original image is converted to become the size of 8* 8 block compression and reconstruction. Cnum: reservations for the compression factor of the number of MSM: mean square error compression should be done in the most reasonable approximation of the original image using the least coefficient. Function: dctmtx: returns an n* n-order DCT transform blkproc: image processing of different blocks. im2col: rearrangement of the matrix block out images. Note: only applicable to grayscale images.
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Size: 3072 |
Author: hff |
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Description: 1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。
2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。
3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。
-1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.
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Size: 2048 |
Author: syq |
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Description: 基于DCT域的图像数字水印技术：
摘要：数字水印技术作为数字媒体版权保护的有效办法，近年来在国内外引起了人们极大的兴趣。作者采用了DCT离散余弦变换的算法，对图像这种多媒体数字作品进行了数字水印的嵌入和检测研究。并且使用了高效实用的编程工具MATLAB来介绍了一种DCT域的图像数字水印嵌入和提取的实例，并且在最后对嵌入水印的图像进行了攻击实验，验证了该算法的鲁棒性和不可见性。-Based on the DCT domain image watermarking techniques: Abstract: Digital watermarking of digital media technology as an effective means of copyright protection, in recent years both at home and abroad has aroused great interest. The author adopted the DCT discrete cosine transform algorithms, the image of this multi-media digital works for the digital watermark embedding and detection research. And the use of efficient MATLAB programming tools useful to introduce a DCT domain image watermarking embedding and extraction examples, and in the final of the embedded watermark image of the attack experiments verify the robustness of the algorithm and non- Visibility.
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Size: 533504 |
Author: 绯村剑心 |
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Description: 在图像的dct域内嵌入数字水印，包括水印嵌入和提取程序。水印为一副图像。-In the image embedded in the DCT domain of digital watermarking, including the watermark embedding and extraction procedures. Watermark for an image.
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Size: 1024 |
Author: 霞疙瘩228 |
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Description: 对一幅彩色图像进行离散DCT变换,并且选择合适的阀值进行DCT反变换-Color of an image of discrete DCT transform, and select the appropriate threshold for DCT Transform
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Size: 1024 |
Author: 李雅 |
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Description: 对一幅图像进行不同量化水平的DCT变换，可以应用于不同分块大小下的DCT变换测试。-On an image to quantify the level of different DCT transform, can be applied to different sub-block size DCT transform under test.
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Size: 2048 |
Author: liuguanhai |
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Description: Dct of 4*4 matrix of an image
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Size: 1024 |
Author: hassan dawood |
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Description: This will take the DCT of an image Coefficient matrix calculated first and after multiplied with image matrix 4X4.very efficient code.-This will take the DCT of an image Coefficient matrix calculated first and after multiplied with image matrix 4X4.very efficient code.
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Size: 1024 |
Author: hassan dawood |
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Description: 对一幅图像进行DCT与DFT变换，分析变换后的高低频分量系数-DCT and DFT on an image, analysis of high frequency components of the transformed coefficient
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Size: 1024 |
Author: lishusheng |
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Description: calculates the DCT of an image
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Size: 1024 |
Author: ankursri007 |
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Description: 据扩频通信技术原理，利用m序列生成水印，通过扩频码与待检测载体图像的相关性设计了DCT域
的彩色图像水印算法-Abstract：An algorithm of colour image watermark in DCT domain based on spread spectrum communication was introduced
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Size: 988160 |
Author: Lnai |
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Description: 图像压缩。对图像进行DCT变换。
取灰度图，DCT,IDCT。-Discrete Cosine Transform of an image
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Size: 485376 |
Author: yangtianyu |
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Description: Converting an image into blocks of 8 x 8 and apply DCT on any one of the blocks
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Size: 1024 |
Author: nisheeth |
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Description: dct
The discrete cosine transform (DCT) represents an image as a sum of sinusoids of varying magnitudes and frequencies. The dct2 function computes the two-dimensional discrete cosine transform (DCT) of an image. The DCT has the property that, for a typical image, most of the visually significant information about the image is concentrated in just a few coefficients of the DCT. For this reason, the DCT is often used in image compression applications. For example, the DCT is at the heart of the international standard lossy image compression algorithm known as JPEG.
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Size: 156672 |
Author: MANJUNATH |
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