Cramping method based on sampling technology under transform domain

Abstract

The invention provides a cramping method based on sampling technology under a transform domain. Internal smooth image areas are coded by utilizing sampling method under the transform domain and rebuilt with interpolation technology to substantially lower the coding bit rate. The image areas with complex internal patterns are coded with a conventional coding method based on JPEG cramping standard. The two coding methods are combined, and different coding strategies are employed for image areas of different types to realize highly efficient cramping of entire image signals. Compared with a conventional JPEG cramping method, the cramping method is highly flexible and efficient, and overcomes the defects of monotonous coding mode in conventional JPEG cramping method and low integral coding efficiency.

Description

technical field

[0001] The invention belongs to the field of image compression, and mainly relates to the coding technology of digital images. Background technique

[0002] As an information carrier for people to acquire and disseminate knowledge, images have become an indispensable part of people's daily life. With the rapid development of multimedia technology, image processing and transmission technology has become a common key technology in digital media industries such as digital video broadcasting, game animation, film and television production, content retrieval, media storage, media entertainment, and multimedia communication. Because the image data itself has the characteristics of large data volume, in order to save transmission bandwidth and storage space, people often use image compression technology to reduce the data volume of the image. The essence of reducing the amount of image data is to remove the redundancy between image pixels, that is, the correlation ...

Examples

Embodiment Construction

[0167] The present invention mainly adopts the mode of simulation experiment to verify the feasibility of the system model, and all steps have been verified by experiment. In order to realize the image compression based on the transform domain down-sampling technology, the specific implementation steps are as follows:

[0168] Step 1, image preprocessing

[0169] Set image width W=16 m , the image height H=16 n , where m and n are all natural numbers, divided into N=(W×H) / 16 according to the image block method in the traditional JPEG image compression standard 2 A non-overlapping square image block with a size of 16×16, denoted as B 1 , B 2 ,...,B i ,...,B N , here, N represents the total number of image blocks after image division, i represents the index of the image block, i∈{1, 2,..., N};

[0170] Step 2, generation of index matrix

[0171] Arrange the 256 natural numbers 1, 2, ..., 256 column by column in order from small to large and from top to bottom to generate ...

technical field

[0001] The invention belongs to the field of image compression, and mainly relates to the coding technology of digital images. Background technique

[0002] As an information carrier for people to acquire and disseminate knowledge, images have become an indispensable part of people's daily life. With the rapid development of multimedia technology, image processing and transmission technology has become a common key technology in digital media industries such as digital video broadcasting, game animation, film and television production, content retrieval, media storage, media entertainment, and multimedia communication. Because the image data itself has the characteristics of large data volume, in order to save transmission bandwidth and storage space, people often use image compression technology to reduce the data volume of the image. The essence of reducing the amount of image data is to remove the redundancy between image pixels, that is, the correlation ...

Examples

Embodiment Construction

[0167] The present invention mainly adopts the mode of simulation experiment to verify the feasibility of the system model, and all steps have been verified by experiment. In order to realize the image compression based on the transform domain down-sampling technology, the specific implementation steps are as follows:

[0168] Step 1, image preprocessing

[0169] Set image width W=16 m , the image height H=16 n , where m and n are all natural numbers, divided into N=(W×H) / 16 according to the image block method in the traditional JPEG image compression standard 2 A non-overlapping square image block with a size of 16×16, denoted as B 1 , B 2 ,...,B i ,...,B N , here, N represents the total number of image blocks after image division, i represents the index of the image block, i∈{1, 2,..., N};

[0170] Step 2, generation of index matrix

[0171] Arrange the 256 natural numbers 1, 2, ..., 256 column by column in order from small to large and from top to bottom to generate ...

Images