Algorithms and hardware for efficient image smoothing
نویسندگان
چکیده
منابع مشابه
PAIRED ANISOTROPIC DISTRIBUTION FOR IMAGE SELECTIVE SMOOTHING
In this paper, we present a novel approach for image selective smoothing by the evolution of two paired nonlinear partial differential equations. The distribution coefficient in de-noising equation controls the speed of distribution, and is determined by the edge-strength function. In the previous works, the edge-strength function depends on isotropic smoothing of the image...
متن کاملHardware Efficient Algorithms for Trigonometric Functions
A new algorithm is presented which significantly reduces the minimum amount of logic required to calculate sine, cosine, and square root. It is derived from an old method for computing certain inverse functions which was once considered for use in software, hut then abandoned because of efficiency concerns. However, when reversed and combined with a restoring square root algorithm, a unique new...
متن کاملFast Image Segmentation and Smoothing Using Commodity Graphics Hardware
We present a novel use of commodity graphics hardware to perform real-time image segmentation and image morphology operations. Our preliminary results show a performance increase of over 30% using an nVidia GeForce4 when compared to an implementation using Intel MMX optimized code on a 2.2 Ghz Intel P4 CPU.
متن کاملTwo Novel Chaos-Based Algorithms for Image and Video Watermarking
In this paper we introduce two innovative image and video watermarking algorithms. The paper’s main emphasis is on the use of chaotic maps to boost the algorithms’ security and resistance against attacks. By encrypting the watermark information in a one dimensional chaotic map, we make the extraction of watermark for potential attackers very hard. In another approach, we select embedding po...
متن کاملpaired anisotropic distribution for image selective smoothing
in this paper, we present a novel approach for image selective smoothing by the evolution of two paired nonlinear partial differential equations. the distribution coefficient in de-noising equation controls the speed of distribution, and is determined by the edge-strength function. in the previous works, the edge-strength function depends on isotropic smoothing of the image, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Vision, Graphics, and Image Processing
سال: 1987
ISSN: 0734-189X
DOI: 10.1016/s0734-189x(87)80111-1