JPEG compression verification method, device and storage medium

By using the JPEG compression verification method and employing grayscale processing and affine transformation matrix for feature comparison, the automation and cost issues of traditional JPEG compression module verification are solved, achieving an efficient and accurate verification process and shortening the chip development cycle.

CN122053850BActive Publication Date: 2026-06-26SHANDONG YUNHAI GUOCHUANG CLOUD COMPUTING EQUIP IND INNOVATION CENT CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG YUNHAI GUOCHUANG CLOUD COMPUTING EQUIP IND INNOVATION CENT CO LTD
Filing Date
2026-04-20
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Verification of traditional JPEG compression modules requires manual intervention, cannot be automated, and the verification results based on manual intervention are unreliable, costly, and incompatible with existing chip verification platforms, resulting in excessively long chip development cycles.

Method used

The JPEG compression verification method is adopted. By acquiring the original image frame and the compressed image, grayscale processing and image segmentation are performed, edge detection is carried out, an affine transformation matrix is ​​generated, and feature comparison is performed. The verification is automated by using a hardware description language, avoiding the need to call external software and simplifying the configuration process.

Benefits of technology

The automated verification of the JPEG compression module was achieved, which improved verification efficiency and accuracy, reduced computing resource consumption and learning costs, and shortened the chip development cycle.

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Abstract

The application discloses a JPEG compression verification method and device and a storage medium, relates to the field of data processing, and comprises the following steps: acquiring an original image frame and a compressed image; performing grayscale processing and image cutting operation on the compressed image to acquire a plurality of compressed image blocks and grayscale image blocks; performing edge detection on the grayscale image blocks to acquire a binary edge image; acquiring an affine transformation matrix according to the pixel values of all pixels in the binary edge image; generating a plurality of feature image blocks according to the original image frame, image configuration parameters, each compressed image block and the affine transformation matrix; performing feature comparison on the i-th compressed image block and the i-th feature image block to acquire an i-th similarity comparison result; comparing the i-th similarity comparison result with a preconfigured preset threshold value respectively to acquire an i-th comparison result; and acquiring a compression verification result when the i acquired comparison results meet a preset stop condition. The method has high compatibility, low cost and high efficiency.
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