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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: 1036 |
Author: 朱晓路 |
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Description: 一般的快速DCT算法只有8点和16点的，我这里提供任意长度（2的幂次方）的DCT快速算法原代码-general fast DCT algorithm only 8:00 and 16:00, and here I am of arbitrary length (two of the power law) DCT fast algorithm source code
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Size: 1569 |
Author: 罗永 |
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Description: 这是一个集4位8位16位32位得快速DCT算法。-Set 4 8 16 32 sightings of fast DCT algorithm.
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Size: 305008 |
Author: 安风铃 |
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Description: 载dsp上实现16dct和8dct的程序-contained dsp achieve 16dct procedures and 8dct
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Size: 16384 |
Author: 王城 |
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Description: 一般的快速DCT算法只有8点和16点的，我这里提供任意长度（2的幂次方）的DCT快速算法原代码-general fast DCT algorithm only 8:00 and 16:00, and here I am of arbitrary length (two of the power law) DCT fast algorithm source code
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Size: 1024 |
Author: 罗永 |
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Description: 这是一个集4位8位16位32位得快速DCT算法。-Set 4 8 16 32 sightings of fast DCT algorithm.
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Size: 8201216 |
Author: 安风铃 |
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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: OFDMA, Orthogonal Frequency Division Multiple Access is a broad band communication method. Here channel estimation is more crucial. Based on the FFT size used for OFDM transmission method that many number of channel co-efficients are to be estimated and received signals are to be equalized using this co-efficients. Various methods trying to improve the performance and fastness are proposed. As part of master thesis various methods have be studied and evaluated using the WiMAX 802.16 system.
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Size: 2159616 |
Author: muruga |
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Description: 图像锐化实例，分别保存用DCT和小波方法的变换系数-Image sharpening examples, save the use of DCT and Wavelet transform coefficients
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Size: 1024 |
Author: 张毅 |
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Description: 对原始灰度图像进行图像压缩，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
-The original gray image compression, this map for 8 × 8 DCT transform, respectively, to retain only the DC coefficient, and to retain the former 4,8,16 months transform coefficients (DC+ AC), and then separately IDCT transform
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Size: 1024 |
Author: potato |
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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: 3072 |
Author: 嘟嘟 |
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Description: DCT变换的基本思路是将图像分解为8×8的子块或16×16的子块，并对每一个子块进行单独的DCT变换，然后对变换结果进行量化、编码-The basic idea is to transform DCT the image is decomposed into 8 × 8 sub-block or 16 × 16 sub-blocks, and each separate sub-block DCT, and then quantify the results of the transform coding
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Size: 60416 |
Author: 孙一 |
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Description: 用c语言实现DCT的快速傅里叶算法，即用16的dsp实现fft的变换-DCT-fast Fourier transform algorithm ，using6 dsp fft of transformation 。
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Size: 1024 |
Author: 唐旭 |
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Description: 在DCT变换域水印算法中，针对整个载体（如整幅图像）或者载体的各部分（比如对图像进行分块，块大小一般为8×8或者16×16）。-DCT WATERMARK
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Size: 1024 |
Author: 李晨璐 |
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Description: 基于matlab的帧内16*16宏块预测代码实现，采用全搜索算法，后面有简化的DCT变换和量化过程-inter prediction of 16*16 macroblocks using Full Search Algorithm based on matlab, followed with simplified process of DCT transform and quantization
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Size: 2048 |
Author: haha |
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Description: The JPEG compression scheme is divided into the following stages:
1. Transform the image into an optimal color space.
2. Adjust Aspect Ratio 16:9
3. Digitization Scheme 4:2:0.
4. Apply a Discrete Cosine Transform (DCT) to blocks of pixels, thus removing redundant image data.
5. Quantize each block of DCT coefficients using weighting functions optimized for the human eye.
6. Encode the resulting coefficients (image data) using a Huffman variable word-length algorithm to remove redundancies in the coefficients.
7. Byte Stuffing.
8. Header JFIF
9. JPG Data Store
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Size: 792576 |
Author: ouchi |
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Description: 对256*256大小的8bit灰度lena图像进行仿真
将图像分为16*16的分块进行计算
稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法- 256* 256 size lena image simulation 8bit grayscale image is divided into 16 * 16 calculate block sparse matrix using DCT matrix, observation matrix using Gaussian random matrix reconstruction algorithm using OMP
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Size: 1024 |
Author: 蒋小燕 |
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Description: DCT and Image Compression
In the JPEG image compression algorithm, the input image is divided into
8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each
block. The DCT coefficients are then quantized, coded, and transmitted. The
JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients,
computes the inverse two-dimensional DCT of each block, and then puts the
blocks back together into a single image. For typical images, many of the
DCT coefficients have values close to zero these coefficients can be discarded
without seriously affecting the quality of the reconstructed image.
The example code below computes the two-dimensional DCT of 8-by-8 blocks
in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients
in each block, and then reconstructs the image using the two-dimensional
inverse DCT of each block. The transform matrix computation method is used.- DCT and Image Compression
In the JPEG image compression algorithm, the input image is divided into
8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each
block. The DCT coefficients are then quantized, coded, and transmitted. The
JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients,
computes the inverse two-dimensional DCT of each block, and then puts the
blocks back together into a single image. For typical images, many of the
DCT coefficients have values close to zero these coefficients can be discarded
without seriously affecting the quality of the reconstructed image.
The example code below computes the two-dimensional DCT of 8-by-8 blocks
in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients
in each block, and then reconstructs the image using the two-dimensional
inverse DCT of each block. The transform matrix computation method is used.
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Size: 1024 |
Author: Eldhose |
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Description: 对cameraman.tif图像进行DCT变换，分别选取最大的1/4、1/8、1/16个变换系数(其余置为0)，进行反DCT得到重构图像，显示原图像和各重构图像并分别计算重构图像的峰值信噪比。-Cameraman.tif DCT transform of the image, were selected maximum 1/4,1/8,1/16 transform coefficients (the remainder is set to 0), inverse DCT to obtain the reconstructed image, the original image in a reconstructed image and various and calculate the peak signal to noise ratio of the reconstructed image.
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Size: 10240 |
Author: zy |
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Description: 程序主要用于dct图片分块，包括8*8，16*16,32*32，64*64分块等等。(The program is mainly used to block DCT pictures, including 8*8, 16*16,32*32, 64*64 block, and so on.)
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Size: 78848 |
Author: wang_san |
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