Method for encoding and decoding Bell formwork image

Abstract

The invention relates to digital image compression technology, in particular to a method for encoding and decoding Bayer patter images, and aims to solve the problem of the difficult establishment of good balance between compression ratio, quality and complexity of restructured color images in the prior method which compresses Bayer pattern image data directly. The invention uses LOCO-I technology to perform lossless encoding for a green component; and through estimation of the green component on the site of a red-blue component by a gradient interpolation method, a color difference signal between the small-wave low-frequency subband of the red-blue component and the low-frequency subband of the estimated green component can be acquired, and can undergo lossless or nearly lossless compression by the LOCO-I technology. At the decoding end, the lossless green component should be obtained firstly, then the green component on the site of the red-blue component is estimated through an process identical to the encoding process; the small-wave high-frequency subband of the estimated green component can replace the corresponding small-wave high-frequency subband of the red-blue component,and the rest part is a reverse process of encoding. The method is characterized by high efficiency and low complexity.

Description

technical field The invention relates to a digital image processing technology, in particular to a digital image compression technology, specifically a Bell template image encoding and decoding method. Background technique With the wide application of image sensors similar to Bell color filter array (referred to as Bell template) in digital cameras and video cameras, in order to improve the storage and transmission efficiency of digital images, image data compression technology is becoming more and more important. In traditional digital camera products, the digital image with similar Bell template format (referred to as Bell template image) is interpolated to estimate the other two missing color values ​​at each pixel position, thereby obtaining full-color image data, and then Use JPEG2000 or JPEG international standard based on wavelet transform to compress the interpolated full-color data. Obviously, this traditional method produces new data redundancy in the interpolati...

AI Technical Summary

Problems solved by technology

In order to solve the problem that the existing method of directly compressing the original Bell template image data is difficult to achieve a good balance between the compression ratio, the quality and complexity of the reconstructed color image, the present invention provides a Bell template image encoding and decoding method

Images