Description: This matlab code read bmp file and seperate it to R,G,B components. And also quantize the image. Platform: |
Size: 58368 |
Author:Kil Jhun Jeong |
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Description: 量化算法是数字水印技术嵌入算法的重要组成部分。通过修改数字图像的低频系数将所需嵌入的水印信息嵌入到载体图像中-Quantization Watermarking embedding algorithm is an important part. Digital image by modifying the frequency coefficients will be required to embed the watermark information is embedded into the carrier image Platform: |
Size: 1024 |
Author:舒旭 |
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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 Platform: |
Size: 792576 |
Author:ouchi |
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Description: A new fingerprint compression algorithm based on
sparse representation is introduced. Obtaining an overcomplete
dictionary from a set of fingerprint patches allows us to represent
them as a sparse linear combination of dictionary atoms.
In the algorithm, we first construct a dictionary for predefined
fingerprint image patches. For a new given fingerprint images,
represent its patches according to the dictionary by computing
l0-minimization and then quantize and encode the representation.
In this paper, we consider the effect of various factors on compression
results. Three groups of fingerprint images are tested.
The experiments demonstrate that our algorithm is efficient
compared with several competing compression techniques (JPEG,
JPEG 2000, andWSQ), especially at high compression ratios. The
experiments also illustrate that the proposed algorithm is robust
to extract minutiae. Platform: |
Size: 3031040 |
Author:bala |
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Search - to quantize an image