Rapid, detail-preserving image downscaling
نویسندگان
چکیده
منابع مشابه
Edge/Detail Preserving Fuzzy Interpolation Algorithm for Image Enlargement
In this paper we propose the fast edge/detail preserving fuzzy interpolation algorithm and its extended algorithm for enlarging the gray-scale level and color digital images, respectively. The proposed algorithms estimate unknown pixel values in the enlarged image by using fuzzy inference based on linear extrapolation of the pixels neighboring to the pixel to be estimated, and obtain the enlarg...
متن کاملDetail-Preserving Surface Inpainting
Inpainting is a well-known technique in the context of image and art restoration, where paint losses are filled up to the level of the surrounding paint and then coloured to match. Analogue tasks can be found in 3D geometry processing, as digital representations of real-world objects often contain holes, due to hindrances during data acquisition or as a consequence of interactive modelling oper...
متن کاملPeripheral Detail-based Edge Preserving Image Interpolation Scheme
Interpolation is a common technique for predicting unknown data points within the range of discrete known data points. In image processing and analysis applications, image interpolation is employed for changing image resolution but also for tasks like image rotation and other transformations. Classical image interpolation algorithms such as nearest neighbour, bilinear and bicubic interpolation ...
متن کاملRobust detail - preserving signal extraction
We discuss robust filtering procedures for signal extraction from noisy time series. Particular attention is paid to the preservation of relevant signal details like abrupt shifts. moving averages and running medians are widely used but have shortcomings when large spikes (outliers) or trends occur. Modifications like modified trimmed means and linear median hybrid filters combine advantages of...
متن کاملDetail preserving impulsive noise removal
Most image processing applications require noise elimination. For example, in applications where derivative operators are applied, any noise in the image can result in serious errors. Impulsive noise appears as a sprinkle of dark and bright spots. Transmission errors, corrupted pixel elements in the camera sensors, or faulty memory locations can cause impulsive noise. Linear filters fail to sup...
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: ACM Transactions on Graphics
سال: 2016
ISSN: 0730-0301,1557-7368
DOI: 10.1145/2980179.2980239