Abstract:
A method of processing image data includes a plurality of different processes performed based on edge information generated as a result of performing a preset process from among the plurality of different processes. Therefore, the time for processing the image data is reduced, and image quality is enhanced.
Abstract:
Disclosed are an image processing apparatus and method that more efficiently process image data. The image processing apparatus includes a vector data manager that receives at least some of all image data and converts the received image data into vector data, a vector processor that receives the vector data from the vector data manager, performs a vector processing operation by using the vector data, and generates output vector data as a result of the vector processing operation, and a synchronizer that controls a timing of when the vector data manager transmits the vector data to the vector processor.
Abstract:
A method and apparatus for processing numeric calculation are provided. The method includes determining a shift bit and an index bit that falls within an index range of a lookup table from among bits representing a divisor scaled up by an offset, obtaining a replacement value corresponding to an index value of the determined index bit by using the lookup table, multiplying a dividend scaled up by the offset by the obtained replacement value, and outputting a value corresponding to a division operation by correcting a scale of a result of the multiplication using a right shift operation.
Abstract:
An image-processing method of removing noise from an image includes: obtaining standard representative values for standard regions of a standard image and reference representative values for reference regions of a reference image, and obtaining a plurality of hierarchical images having different resolutions with respect to the standard image and the reference image based on the standard representative values and the reference representative values; obtaining the standard representative values for the standard regions of the standard image and the reference representative values for the reference regions of the reference image from the hierarchical images; determining a similarity between the standard regions and the reference regions from the standard representative values and the reference representative values; and removing noise by applying filtering to the standard image and the reference image depending on the determined similarity.