GPU-based 3D Wavelet Transform
نویسندگان
چکیده
Wide amount of applications like volumetric medical data compression, video watermarking and video coding use the three-dimensional wavelet transform (3D-DWT) in their algorithms. In this work, we present GPU algorithms, based on both global and shared memory, to compute the 3D-DWT transform on both the GTX280 and the GMT540 platforms. The results obtained show that speed-ups of 19.7 and 10.65 on average can be obtained for the GTX280 and GMT540 platforms respectively when only the GPU’s global memory is used. Moreover, Speed-ups increase considerably to 87 and 25 when the shared memory in the device is used optimizing the memory access to avoid idle threads. Futhermore, we discuss speed-up evolution depending on the group of pictures size (GOP).
منابع مشابه
GPU-based 3D lower tree wavelet video encoder
The 3D-DWT is a mathematical tool of increasing importance in those applications that require an efficient processing of huge amounts of volumetric info. Other applications like professional video editing, video surveillance applications, multi-spectral satellite imaging, HQ video delivery, etc, would rather use 3D-DWT encoders to reconstruct a frame as fast as possible. In this article, we int...
متن کاملParallel 3D fast wavelet transform on manycore GPUs and multicore CPUs
GPUs have recently attracted our attention as accelerators on a wide variety of algorithms, including assorted examples within the image analysis field. Among them, wavelets are gaining popularity as solid tools for data mining and video compression, though this comes at the expense of a high computational cost. After proving the effectiveness of the GPU for accelerating the 2D Fast Wavelet Tra...
متن کاملReal-time Rendering with Wavelet-Compressed Multi-Dimensional Datasets on the GPU
We present a method for using large, high dimension and high dynamic range datasets on modern graphics hardware. Datasets are preprocessed with a discrete wavelet transform, insignificant coefficients are removed, and the resulting compressed data is stored in standard 2D texture memory. A set of drop-in shader functions allows any shader program to sample the wavelet-encoded textures without a...
متن کامل3D Inversion of Magnetic Data through Wavelet based Regularization Method
This study deals with the 3D recovering of magnetic susceptibility model by incorporating the sparsity-based constraints in the inversion algorithm. For this purpose, the area under prospect was divided into a large number of rectangular prisms in a mesh with unknown susceptibilities. Tikhonov cost functions with two sparsity functions were used to recover the smooth parts as well as the sharp ...
متن کاملUltra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU
Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study u...
متن کامل