Assessment of the compressed image quality is an important issue for image processing system. In this paper, we propose a novel objective assessment to measure the quality of gray scale compressed image, which is deve...
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Assessment of the compressed image quality is an important issue for image processing system. In this paper, we propose a novel objective assessment to measure the quality of gray scale compressed image, which is developed from the fundamental objective measurement. It is also correlated well with human response and least time taken comparable to some existing measurements. The proposed measurement, spatial frequency measurement (SFM) is adopted to enhance the image quality evaluation performance. From the experimental results, we found that mean average error (MAE) with SFM (MAESFM) is the suitable measurements that can be used to measure the quality of JPEG and JPEG2000 compressed images. In addition, MAESFM measurement is scaled to make them equivalent to MOS, given the rate of compressed image quality from 1 to 5 (unacceptable to excellent quality).
Digital images have been widely used in many applications. However, digital image forgery has already become a serious problem due to the rapid development of powerful image editing software. One of the most commonly ...
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Digital images have been widely used in many applications. However, digital image forgery has already become a serious problem due to the rapid development of powerful image editing software. One of the most commonly used forgery techniques is Copy-move forgery that copies a region of an image and pastes it on the other region in the same image. In recent years, most techniques aim to detect such tampering. Different feature extraction methods have been used to improve the capability of the detection algorithm. In this work, we used two dimensional Fourier transform (2D-FT) to extract some features from the blocks. Predetermined number of Fourier coefficients hold information about the blocks. At the final stage, the similarity search between the adjacent feature vectors is performed to determine the forgery. Experimental results show that proposed method can detect the duplicated regions with high accuracy rate even if the image is distorted with blurring mask or it is compressed with different JPEG quality factors. The dimension of feature vector is also lower than the other methods in the literature. Thus, the method ensures the lower feature vector with high accuracy rates. The proposed method also detects multiple copy move forgery as shown in the results.
This paper presents a robust method to detect scene changes from compressed video streams. Scene changes are detected with DC components of DCT coefficients in MPEG encoded video sequences. Instead of decoding full fr...
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ISBN:
(纸本)0780355830
This paper presents a robust method to detect scene changes from compressed video streams. Scene changes are detected with DC components of DCT coefficients in MPEG encoded video sequences. Instead of decoding full frames, partial macroblocks of each frame, horizontal and vertical macroblocks, are decoded to perform scene changes. This method detects abrupt and gradual scene changes by decoding minimal blocks and saves a lot of computations. The experiment results show at least 95% detection performance for dramas, news and animations.
The compression and decompression of MPEG-2 video play a major role in entertainment delivery devices. This paper investigates software MPEG-2 video decoding on a multiprocessing microprocessor, MAJC-5200. MAJC (micro...
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The compression and decompression of MPEG-2 video play a major role in entertainment delivery devices. This paper investigates software MPEG-2 video decoding on a multiprocessing microprocessor, MAJC-5200. MAJC (microprocessor architecture for Java computing), is a very long instruction word (VLIW) processor with an instruction set geared towards multimedia computing. We describe the microprocessor and show that less than 50% of a single CPU out of the available true processors is sufficient for decoding 4 Mb/s video sequences.
Low-precision logarithmic number system (LNS) arithmetic can reduce the power consumption for MPEG decoding compared to conventional fixed-point techniques. Although this introduces small numeric errors, which violate...
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Low-precision logarithmic number system (LNS) arithmetic can reduce the power consumption for MPEG decoding compared to conventional fixed-point techniques. Although this introduces small numeric errors, which violate the IEEE-1180 standard for the inverse discrete cosine transform (IDCT), the visual effects of such error may be tolerable for portable battery-powered devices, like videophones, that have limited-resolution displays. The MPEG standard achieves video compression by quantization of the data fed to the IDCT. The MPEG decoder must multiply this data by dequantization factors. Such multiplication, by itself, is trivial with LNS since adding logarithms is equivalent to multiplication. The IEEE-1180 standard suggests oddification, where fixed-point data is forced to become odd after dequantization to minimize IDCT mismatch between the encoder and the decoder. Oddification poses an implementation problem for data in LNS format. This paper suggests that the visual effect of LNS without oddification is nearly indistinguishable from LNS with oddification, meaning that the benefits of LNS in MPEG are even greater than previously expected.
MPEG-4 supports coding of video objects with spatial and temporal scalability. Scalability allows decoding a part of a stream and construct images with reduced decoder complexity (reduced quality)
MPEG-4 supports coding of video objects with spatial and temporal scalability. Scalability allows decoding a part of a stream and construct images with reduced decoder complexity (reduced quality)
An original algorithm for the approximation of the discrete cosine transform (DCT) without multiplication is presented. The method is based on a recursive generator of discrete harmonic signals. The "speed/accura...
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An original algorithm for the approximation of the discrete cosine transform (DCT) without multiplication is presented. The method is based on a recursive generator of discrete harmonic signals. The "speed/accuracy" ratio can be tuned due to input specifications. The actual accuracy and error analysis depend on the length of the DCT. We analyse the possibility of using our algorithm in JPEG image compression. However, application of the approximation method is possible in all problems using DCT. Our new approach to the DCT approximation is applicable to other transforms such as the DFT.
Interface intend issues relevant to this project which embrace the assimilation of media, annotation, use of descriptions, standards, accomplish the purpose of the multimedia system. Envisage a video in multimedia mil...
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Interface intend issues relevant to this project which embrace the assimilation of media, annotation, use of descriptions, standards, accomplish the purpose of the multimedia system. Envisage a video in multimedia milieu with authoring is, serene a prickly way. In this dissertation we present a twofold of action, at initial arena annotate a video with text depiction and sketch generation using Sobel Edge Detection Algorithm. This approach is used to engender sketches using sobel operator which discover the spiky intensity variation of an image and it attain the edges of the objects enclosed on the image and then we found similiarity between sketch and original image. At the instant phase we recommend a scene structured graph to authorize a video.
Blocking effect is the major drawback in DCT-based (discrete cosine transformation) codecs at low bit-rates. In this paper, a post-processing filter is proposed in DCT frequency domain. The proposed algorithm uses a s...
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Blocking effect is the major drawback in DCT-based (discrete cosine transformation) codecs at low bit-rates. In this paper, a post-processing filter is proposed in DCT frequency domain. The proposed algorithm uses a shift block within four adjacent DCT blocks to reduce computational complexity. By slightly modifying several DCT coefficients in the shift block, the artifacts that result from quantization and dequantization process are alleviated. The simulation results show that both visual perception and objective image quality are improved noticeably.
With the growing interest in copyright protection of multimedia, digital watermarking has been presented and widely researched. The digital image watermarking techniques are usually performed in spatial or transform d...
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ISBN:
(纸本)0780378652
With the growing interest in copyright protection of multimedia, digital watermarking has been presented and widely researched. The digital image watermarking techniques are usually performed in spatial or transform domain. Most of transform-domain watermarking methods are based on Discrete Cosine transforms (DCT) and robust to JPEG lossy compression. Recently, digital image watermarking based on another significant lossy compression technique, Vector Quantization (VQ), has appeared, which carries watermark information by codeword indices. It is quite effective, especially for the robustness to VQ compression with the same codebook. We develop a more favorable image watermarking method based on classified VQ in this paper. This technique can achieve excellent embedding performance and extract the watermark without the original image. This original theoretical result is acceptable with experiments that show superiority to some existing VQ-based watermarking algorithms, and the watermarked image is robust to some common signal processing operations.
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