Batch-crop-images VS JPEG-Image-Compressor

Compare Batch-crop-images vs JPEG-Image-Compressor and see what are their differences.


A tool for cropping similar images in a batch with an interface. (by NatLee)
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Batch-crop-images JPEG-Image-Compressor
1 2
49 12
- -
0.4 4.5
about 1 year ago 2 days ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of Batch-crop-images. We have used some of these posts to build our list of alternatives and similar projects.


Posts with mentions or reviews of JPEG-Image-Compressor. We have used some of these posts to build our list of alternatives and similar projects.
  • JPEG image compression algorithm using Python
    1 project | | 19 Mar 2022
    To anyone interested in using JPEG's compression algorithm, I wrote a little program as a project for a course to do so. Here's the link to my repository on GitHub: This Python program compresses raw images based on the JPEG compression algorithm. This program takes as input a raw image (eg: .bmp). The image is read using the OpenCV library in BGR color space, then converted to YCrCb. Each channel is normalized by subtracting 128. Then a 4: 2: 2 subsampling scheme is applied (another scheme can be used), by utilizing a 2 × 2 averaging filter on the chrominance channels (another type of filter can be used), thus reducing the number of bits per pixel to 8 + 4 + 4 = 16. Each channel is divided into 8 × 8 blocks – and is padded with zeros if needed. Each block undergoes a discrete cosine transform, where in the resulting block, the first component of each block is called the DC coefficient, and the other 63 are AC components. DC coefficients are encoded using DPCM as follows: , . AC components are encoded using run length in the following way: , , while using zigzag scan on the block to produce longer runs of zeros. An intermediary stream consists of encoded DC and AC components, and an EOB (end of block) to mark the end of the block. To achieve a higher compression rate, all zero AC components are trimmed from the end of the zigzag scan. A Huffman dictionary is created by calculating the frequency of each intermediary symbol. Since one image is to be sent in this project, the frequencies of the intermediary symbols will be calculated from those of this image (one can use a predefined Huffman dictionary). Each intermediary stream is encoded using its assigned codeword. The encoded bitstream is then written to an output file.
    1 project | | 19 Mar 2022

What are some alternatives?

When comparing Batch-crop-images and JPEG-Image-Compressor you can also consider the following projects:

opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

Osintgram - Osintgram is a OSINT tool on Instagram. It offers an interactive shell to perform analysis on Instagram account of any users by its nickname

PyVideoFramesExtractor - Extract frames from videos in Python using OpenCV.