In the field of agriculture, image processing plays a significant role in which Image compression and Encryption is the most important tool. Image processing provides applications for agriculture in detection of unwanted growth of crops and its health monitoring. Image Encryption and Compression techniques are utilized to achieve better reconstructed image. Generally, remote sensing equipment is utilized in broadcast of images that are captured in the agriculture field. During transmission, image size and bandwidth are the main issues which require huge storage space and large bandwidth for the transmission. Hence, it is obligatory to compress the image before transmission. Various compression and Encryption methodologies are used so far. But there are some limitations of the existing techniques like high encryption time and quality of reconstructed image will be affected. Therefore, to overwhelm these limitations Novel Homomorphic Encryption algorithm (NHE) for encryption process and an Enhanced Discrete Wavelet Transform (EDWT) for compression procedure (NHE-EDWT) is proposed. The Image is encrypted, compressed, decompressed, and finally decrypted to get the resultant image. The advantage of using this enhanced methodology diminishes the time taken for encryption and retains a better quality reconstructed image. Finally, the performances are measured for peak signal to noise ratio (PSNR), Execution Time, and Compression ratio. On comparing with the existing methodologies, this proposed work offers better efficiency in PSNR approximately 15.06% with classic methods, Compression ratio is improved about 84.02%, and Encryption time is decreased about 89.70%. The quality of reconstructed images improved, the size of the image is reduced by improving the compression ratio. Thus reduces the required bandwidth for image transmission. Decreased encryption time reduces the time consumption for computation.

中文翻译：

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农业领域作物图像的新型同态加密和增强型 DWT (NHE-EDWT) 压缩

在农业领域，图像处理发挥着重要作用，其中图像压缩和加密是最重要的工具。图像处理为农业提供了检测作物不需要的生长及其健康监测的应用。图像加密和压缩技术用于实现更好的重建图像。通常，遥感设备用于广播在农业领域捕获的图像。在传输过程中，图像大小和带宽是主要问题，需要巨大的存储空间和大带宽进行传输。因此，必须在传输前压缩图像。到目前为止，使用了各种压缩和加密方法。但现有技术存在一定的局限性，如加密时间长，重建图像的质量会受到影响。因此，为了克服这些限制，提出了用于加密过程的新型同态加密算法 (NHE) 和用于压缩过程的增强型离散小波变换 (EDWT) (NHE-EDWT)。Image经过加密、压缩、解压，最后解密得到结果图像。使用这种增强方法的优势减少了加密所需的时间并保留了质量更好的重建图像。最后，测量峰值信噪比 (PSNR)、执行时间和压缩比的性能。与现有方法相比，这项提议的工作在 PSNR 方面提供了更好的效率，传统方法约为 15.06%，压缩率提高约 84.02%，加密时间减少约 89.70%。重构图像的质量提高，通过提高压缩比来减小图像的尺寸。从而减少了图像传输所需的带宽。减少的加密时间减少了计算的时间消耗。