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图像dct变换的程序
- 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 diagr
任意2的幂次方长度数据快速dct
- 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
DCT得快速算法
- 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.
fft
- 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 。
Analysis_of_channel_estimation_methods_for_OFDMA.
- 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
li3-16
- 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
dip4
- 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 tr
3971017DCT
- 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
DCTtransformation
- 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 c
Untitled23
- 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
interpre
- 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
JPEG_BaseLine_Encoder
- 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
DCT_Gaosi_fenkuai
- 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 Ga
DCT-and-Image-Compression
- 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 trans
3.2DCT
- 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 th
DCT-transform-of-the-image
- 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 th
Jridi17.pdf.tar
- An approximate kernel for the discrete cosine transform (DCT) of length 4 is derived from the 4-point DCT defined by the High Efficiency Video Coding (HEVC) standard and used for the computation of DCT and inverse DCT (IDCT) of power-of-two lengt
MaseraConf_17.pdf.tar
- In this paper, we present area- and power-efficient architectures for the implementation of integer discrete cosine transform (DCT) of different lengths to be used in High Efficiency Video Coding (HEVC). We show that an efficient constant matrix-
dct
- 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.)