一种在压缩域内的帧类型转换方法

论述了在压缩域内将MPEG-2码流中的B帧或P帧转换为Ⅰ帧的方法。根据DCT变换的正交特性，在将运动补偿运算转换为矩阵相乘运算后，推导出压缩域帧类型转换的计算公式。针对采用半像素精度运动估计的帧，对相应公式做了修正。由于量化阶的选择极大影响转换过程中的失真程度和码率的大小，提出了一种重新计算量化阶的方法，利用压缩域的信息计算宏块的活动性，并由该活动性信息调整量化阶的大小。仿真实验验证了所提出方法的有效性。     

实时Motion JPEG200O码率控制算法

提出了一种Motion JPEG2000可变码率编码的码率控制算法.该算法采用查找表记录存储编码帧的率失真特性,通过引入虚拟帧增加同一时刻参加码率控制帧总数,在存储容量受限条件下获得质量一致的编码序列.实验结果表明,所提出的算法能提高视觉质量、适合硬件实现和实时应用.     

A Regularized Super Resolution Algorithm for Generalized Gaussian Noise

In this paper,an iterative regularized super resolution (SR) algorithm considering non-Gaussian noise is proposed.Based on the assumption of a generalized Gaussian distribution for the contaminating noise,an lp norm is adopted to measure the data fidelity term in the cost function.In the meantime,a regularization functional defined in terms of the desired high resolution (HR) image is employed,which allows for the simultaneous determination of its value and the partly reconstructed image at each iteration step.The convergence is thoroughly studied.Simulation results show the effectiveness of the proposed algorithm as well as its superiority to conventional SR methods.     

A Bayesian Super Resolution Algorithm Based on Synthetic Gradient Distribution

A novel Bayesian super resolution (SR) algorithm based on the distribution of synthetic gradient is proposed.The synthetic gradient combines prior information in horizontal,vertical,and diagonal directions.Its distribution is modeled as a Lorentzian function and regarded as a new image model which can sufficiently regularize the ill-posed algorithm and preserve the edges in the reconstructed images.The graduated nonconvexity (GNC)optimization is employed to guarantee the convergence of the proposed Lorentzian SR (LSR) algorithm to the global minimum.The performance of LSR is compared with conventional algorithms,and experimental results demonstrate that the proposed algorithm obtains both subjective and objective gains.