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As we can find through the development of TV systems in America, the digital TV related digital broadcasting is just the road we would walk into. Nowadays digital television is prevailing in China, and the government is promoting the popularity of digital television. However, because of the economic development, analog television will still take its place in the TV market during a long period. But the broadcasting system has not been reformed, as a result, we should not only take use of the traditional analog system we already have, but also improve the quality of the pictures of analog system. With the high-speed development of high-end television, the research and application of digital television technique, the flaws caused by interlaced scan in traditional analog television, such as color-crawling, flicker and fast-moved object's boundary blur and zigzag, are more and more obvious. Therefore the conversion of interlaced scan to progressing scan, which is de-interlacing, is an important part of current television production. At present there are many kinds of TV sets appearing in the market. They are based on digital processing technology and use various digital methods to process the interlaced, low-field rate video data, including the de-interlacing and field rate conversion. The digital process chip of television is the heart of the new-fashioned TV set, and is the reason of visual quality improvement. As a requirement of real time television signal processing, most of these chips has developed novel hardware architecture or data processing algorithm. So far, the most quality effective algorithm is based on motion compensation, in which motion detection and motion estimation will be inevitably involved, in despite of the high computation cost. in video processing chips, the performance and complexity of motion estimation algorithm have a direct impact on speed area and power consumption of chips. Also, motion estimation determined the efficiency of the coding

As we can find through the development of TV systems in America, the digital TV related digital broadcasting is just the road we would walk into. Nowadays digital television is prevailing in China, and the government is promoting the popularity of digital television. However, because of the economic development, analog television will still take its place in the TV market during a long period. But the broadcasting system has not been reformed, as a result, we should not only take use of the traditional analog system we already have, but also improve the quality of the pictures of analog system. With the high-speed development of high-end television, the research and application of digital television technique, the flaws caused by interlaced scan in traditional analog television, such as color-crawling, flicker and fast-moved object's boundary blur and zigzag, are more and more obvious. Therefore the conversion of interlaced scan to progressing scan, which is de-interlacing, is an important part of current television production. At present there are many kinds of TV sets appearing in the market. They are based on digital processing technology and use various digital methods to process the interlaced, low-field rate video data, including the de-interlacing and field rate conversion. The digital process chip of television is the heart of the new-fashioned TV set, and is the reason of visual quality improvement. As a requirement of real time television signal processing, most of these chips has developed novel hardware architecture or data processing algorithm. So far, the most quality effective algorithm is based on motion compensation, in which motion detection and motion estimation will be inevitably involved, in despite of the high computation cost. in video processing chips, the performance and complexity of motion estimation algorithm have a direct impact on speed area and power consumption of chips. Also, motion estimation determined the efficiency of the coding

We propose no-reference analysis and processing of DCT (Discrete Cosine Transform) coded images based on estimation of selected MPEG parameters from the decoded video. The goal is to assess MPEG video quality and perform post-processing without access to neither the original stream nor the code stream. Solutions are presented for MPEG-2 video. A method to estimate the quantization parameters of DCT coded images and MPEG I-frames at the macro-block level is presented. The results of this analysis is used for deblocking and deringing artifact reduction and no-reference PSNR estimation without code stream access. An adaptive deringing method using texture classification is presented. On the test set, the quantization parameters in MPEG-2 I-frames are estimated with an overall accuracy of 99.9% and the PSNR is estimated with an overall average error of 0.3dB. The deringing and deblocking algorithms yield improvements of 0.3dB on the MPEG-2 decoded test sequences.

We propose no-reference analysis and processing of DCT (Discrete Cosine Transform) coded images based on estimation of selected MPEG parameters from the decoded video. The goal is to assess MPEG video quality and perform post-processing without access to neither the original stream nor the code stream. Solutions are presented for MPEG-2 video. A method to estimate the quantization parameters of DCT coded images and MPEG I-frames at the macro-block level is presented. The results of this analysis is used for deblocking and deringing artifact reduction and no-reference PSNR estimation without code stream access. An adaptive deringing method using texture classification is presented. On the test set, the quantization parameters in MPEG-2 I-frames are estimated with an overall accuracy of 99.9% and the PSNR is estimated with an overall average error of 0.3dB. The deringing and deblocking algorithms yield improvements of 0.3dB on the MPEG-2 decoded test sequences.