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Digital image nondestructive compression method and device, resolution method and image encoder

A digital image, lossless compression technology, applied in image communication, digital video signal modification, television and other directions, can solve the problems of slow decompression, large storage space, low compression rate, etc., to achieve high compression efficiency, improve response speed, real-time good effect

Inactive Publication Date: 2010-05-26
杭州波导软件有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies of the existing digital image compression methods, such as low compression rate, slow decompression speed, large storage space, and poor real-time performance, the present invention provides a digital image compression method with high compression rate, fast decompression speed, saving storage space, and good real-time performance. Image lossless compression method and device, analysis method and image decoder

Method used

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  • Digital image nondestructive compression method and device, resolution method and image encoder
  • Digital image nondestructive compression method and device, resolution method and image encoder
  • Digital image nondestructive compression method and device, resolution method and image encoder

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Embodiment 1

[0042] refer to figure 1 , a digital image lossless compression method mainly includes the following steps:

[0043] (1), start scanning from the first pixel of the image to obtain the color value of each pixel;

[0044] (2) Compare the scanned pixels according to their color values, and perform the following compression and storage operations:

[0045] (2.1), as in the adjacent pixels in the image, there are n consecutive identical pixels, n>1, n is an integer, and the following three storage units are used for storage: the first storage unit is the identification unit, Indicates that the n pixels are continuously identical; the second storage unit stores the value of n; the third storage unit stores the color value x of the n consecutive identical pixels;

[0046] (2.2), if there are m non-consecutive identical pixels in the adjacent pixels in the image, m>1, and m is an integer, the following format is used for storage: the fourth storage unit is an identification unit, i...

Embodiment 2

[0069] refer to figure 1 , image 3 , a device for implementing a digital image lossless compression method, comprising: a scanning module 2, which is used to scan from the first pixel of an image until the last pixel of the image to obtain the color value of each pixel; the digital image is lossless The compression device also includes: a lossless compression module 3, which is used to compare the scanned pixels: (2.1) For example, in the adjacent pixels in the image, there are n consecutive identical pixels, where n>1, n is Integer, the following three storage units are used for storage: the first storage unit is an identification unit, indicating that the n pixels are consecutively the same; the second storage unit stores the value of n; the third storage unit stores the color values ​​of the n consecutive identical pixels x; (2.2), such as in the adjacent pixels in the image, there are m non-continuous identical pixels, m>1, and m is an integer, which is stored in the fol...

Embodiment 3

[0073] refer to figure 1 , figure 2 A digital image analysis method coordinated with a digital image lossless compression method mainly includes the following steps:

[0074] (1) Decoding according to the compressed digital image, if the flag unit is the first storage unit, the value of the second storage unit is n, and the third storage unit is the color value of consecutive identical pixels x, then analyze the data It is n color values ​​x that are consecutively the same and are all x; if the flag unit is the fourth storage unit, the value of the fifth storage unit is m, and the m color values ​​after the fifth storage unit are respectively y 1 ,y 2 ,...,y m , then parse the data into the color values ​​of non-consecutive identical m pixels, that is, y 1 ,y 2 ,...,y m ;

[0075] (2) According to the sequence of data in the digital image, the analyzed image pixels are formed.

[0076] The analysis method of this embodiment is: perform reverse analysis on the compress...

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Abstract

The invention relates to the lossless compression method of digital images. Whether a section of pixels is the continuous same or the discontinuous same is examined according to the adjacent pixels inthe spacial position in the image and is shown by flag bits. And the flag bits and step sizes are indicated by indicating bytes. If n continuous pixels are the same, one of the pointing byte is in front of the specific color value of one of the pixels; if n continuous pixels are different, the pointing byte is in front of the specific color value of the n pixels. The invention also provides the lossless compression device, the resolution method and the encoder of the digital images based on the method. The lossless compression method of the digital image has the advantages of high compressionrate, fast decompression speed, storage space saving performance and good real-time performance.

Description

(1) Technical field [0001] The invention relates to the field of digital image compression and decompression, in particular to a digital image lossless compression method, compression device, analysis method and image decoder. (2) Background technology [0002] At present, in the field of digital images, JPEG image compression (JPEG: English full name Joint Photographic Experts Group, namely the Joint Photographic Experts Group, a graphic file format with slightly distortion compression (LOSSY COMPRESS) is used most often. INTERNET), JPEG has the characteristics of high compression ratio and so on. [0003] However, in embedded systems such as mobile phones, although JPEG images have a high compression ratio and can save storage space, the decompression of JPEG images is more complicated and the decompression speed is slower. There is an obvious "hysteresis" phenomenon. Moreover, JPEG compression is a lossy compression, that is, color information of some pixels will be los...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N1/41H04N7/26H04N19/156H04N19/182H04N19/423
Inventor 徐卫丰
Owner 杭州波导软件有限公司
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