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Method for improving spatial resolution of image in JPEG format

An image space, high-resolution technology, applied in the field of image editing, to achieve the effect of simplifying the super-resolution process, high research and application value, and clear visual quality

Active Publication Date: 2018-10-09
FUDAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, if the traditional image super-resolution method is used to perform super-resolution on JPEG format images, the image block effect will become obvious while increasing the image resolution. Therefore, it is more challenging and challenging to propose a super-resolution model based on JPEG format images. Practical significance

Method used

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  • Method for improving spatial resolution of image in JPEG format
  • Method for improving spatial resolution of image in JPEG format
  • Method for improving spatial resolution of image in JPEG format

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Embodiment Construction

[0033] figure 1 For the process of super-resolution of a low-resolution JPEG format image, the specific steps are:

[0034] (1) First, perform bicubic interpolation on the input low-resolution JPEG format image to obtain a JPEG image q with block effect in high-resolution space;

[0035] (2) The input q is sequentially processed by the image deblocking effect and the image super-resolution network to reconstruct a high-resolution JPEG format image.

[0036] figure 2 It is an image deblocking process, and its specific steps are:

[0037] Pass the input q through 20 convolutional layers in turn, and use ReLU as the activation function after each layer. In addition, after the 7th, 10th, 13th, 16th, 19th, and 20th convolutional layers, a total of 6 summation layers are used through skip connections to add the features output by the current layer to the output of the previous convolutional layer. In addition to the last summation layer, each summation layer contains three conv...

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Abstract

The invention belongs to the technical field of image processing, and in particular relates to a method for improving the spatial resolution of an image in JPEG format. The super-division variabilityreconstruction technology of the image in JPEG format is an effective way to improve the resolution of the image in JPEG format. The method based on signal processing is used to improve the image resolution. When a traditional super-division method based on a non-destructive image super-divides the image in JPEG format, the resolution of the image is increased, and the block effect of the image becomes obvious. According to the method provided by the invention, the deblocking process of the image and the super-division process of the image are combined; an end-to-end network model is used to eliminate the block effect of the image and super-divide the image in JPEG format at the same time; experimental results show that the proposed method effectively improves the resolution of the image in JPEG format; and the image in JPEG format has clearer visual quality, richer content and higher research and application values.

Description

technical field [0001] The invention belongs to the technical field of image editing, specifically relates to a JPEG format image super-resolution, and more specifically relates to a method for improving the spatial resolution of a JPEG format image. Background technique [0002] Image resolution is an important indicator for evaluating image quality, so high-resolution images have important application value and broad application prospects in various fields. However, the obtained images usually have different degrees of quality degradation due to hardware limitations or external interference in the acquisition, storage, and transmission processes. [0003] Image super-resolution variable rate reconstruction technology is an effective way to improve image resolution, and the method based on signal processing is used to improve image resolution. Traditional image super-resolution methods are processed based on images in BMP (abbreviation for Bitmap, a lossless bitmap format ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
CPCG06T3/4007G06T3/4053
Inventor 颜波李可林楚铭马晨曦
Owner FUDAN UNIV
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