Image decoding method and pattern processing device using same

Abstract

Provided is a pattern processing device using an image decoding method, comprising a central processing unit and a pattern processing unit. The central processing unit further comprises a first header quantization table, a second header quantization table, an entropy decoding module, an inverse discrete cosine transformation module and a color space conversion module. The entropy decoding module obtains input image data, andprocesses the input image data into a two-dimensional quantization image according to the first header quantization table. The pattern processing unit performs a dequantization operation on the input image data according to the second header quantization table. The inverse discrete cosine transformation module performs an inverse discrete cosine transformation operation on the input image data. The inverse discrete cosine transformation module performs an inverse discrete cosine transformation operation on the input image data. The color space conversion module performs a color mode conversion operation so as to convert the input image data into output image data. The pattern processing unit and the image decoding method realize the dequantization operation which used to be performed by the central processing unit, dispersing load of the central processing unit and achieving the purpose of performance improvement.

Description

technical field [0001] The present invention relates to a graphics processing device, and in particular to a graphics processing device using a three-dimensional (3D) hardware accelerator to realize dequantization (Dequantization) operations. Background technique [0002] figure 1 A schematic diagram showing an image decompression process of an existing still image compression standard (Joint Photographic Experts Group, hereinafter referred to as JPEG) decoder. [0003] As shown in the figure, the JPEG decoder 10 includes an entropy decoder (Entropy Decoder) 120 , an inverse quantizer (Dequantizer) 130 and an inverse discrete cosine transformer (Inverse Discrete Cosine Transformer, IDC T) 140 . It should be noted that the JPEG decoder is a Discrete Cosine Transform-based decoder, and the JPEG image data is an 8×8 pixel matrix as the basic unit. [0004] The input image data 110 is a compressed M×N pixel array. When executing the JPEG image decoding operation, the entropy ...

AI Technical Summary

Problems solved by technology

However, since the operation of the JPEG decoding process is more complicated than that of general image processing, the computing performance of the JPEG image decoding module completely depends on the computing power of the CPU

Therefore, the worse the computing power of the central processing unit, the worse the performance of the JPEG image decoding module

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